{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Using the Scheduler\n",
    "\n",
    "The scheduler will translate a `QuantumCircuit` into a Pulse `Schedule`, using gate and measurement _calibrations_: an optimized pulse-level description of an operation on particular qubits.\n",
    "\n",
    "Backends that are OpenPulse enabled will typically have calibrations defined for measurements and for each of its basis gates. Calibrations can also be defined or updated by the user.\n",
    "\n",
    "## Basic usage\n",
    "\n",
    "To start, build a quantum circuit as you would normally. For our example below, we create a simple Bell state."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 327.252x204.68 with 1 Axes>"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from qiskit import QuantumCircuit\n",
    "\n",
    "circ = QuantumCircuit(2, 2)\n",
    "circ.h(0)\n",
    "circ.cx(0, 1)\n",
    "circ.measure([0, 1], [0, 1])\n",
    "\n",
    "circ.draw(\"mpl\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We'll use the mocked backend, `FakeHanoi`, to demonstrate how to use the scheduler. It contains default calibrations for measurement and for its basis gates. The Hadamard operation is not one of those basis gates, so we use the transpiler to compile our input circuit to an equivalent circuit in terms of the basis gates of the device."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "from qiskit import transpile, schedule as build_schedule\n",
    "from qiskit.providers.fake_provider import FakeHanoi\n",
    "\n",
    "backend = FakeHanoi()\n",
    "\n",
    "transpiled_circ = transpile(circ, backend)  # Undefined Hadamard is replaced by U1\n",
    "schedule = build_schedule(transpiled_circ, backend)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's see how our schedule `schedule` built from the circuit `transpiled_circ` looks."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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1NRWAu+76I+MnTOC4445j7bqf+NvfHuWySy/h3ffeq97v0mU/kJqaypTjp/Db315G3759ycjM5I477+KySy+p0frx299eRlJSEst+WF5dV9X6CRMm8sG8eWzYsKEFzrCIiIiISPTaZVIyadJksrOz+ejDD6uX5eTk8MYbb3DqaadtU/7zzz/nhReeJyUlheU//ADAW2+9yUEHH1xjm2OPO45JkyfTuUsXsrOzueqq3/H4E0+w0047VW9z+IgR1fWWlpby6iuv8PtrZ5CRkcHwww5j/IQJPPvMs9VlXnnlFbp3786BBx3Eq6+8wh+um8mggw8mNze3RtnCwsI660pJSeHggw7i7bffbuKzKSIiIiLSOO0yKUlNTWXKlBN45plnqpf9618vs8cee7D//vvXKJubm8sZZ0znd7+7iqlTp1Vv8/XXX7Nq1apatykpKWH+/HlceeXvGDnyZ9XLv/76a3bffffq9zfeeAPl5eVceMEFzJv3AQD777c/3377bXWZZ57+J6eceio//PADCQkJ7L777uyx55589eWXNcouW7asen2VyLqqthMRERERiSXtMikBrwvXK6/8m5KSEgCeefoZTj3t9BplnHP84v/+j3323odLLr20xjZ5eXm88/bbtW4z5/XX6dixE5dcemmNdXl5eWRmZABw/Q038vgTT9C9Rw/OPuccTp42jeXLl9OhQwcKCvIBWLVqFfPnz+e0006nsKCAzMxMADIzMsjLy6tRNnx9lfD14duJiIiIiMSSdpuUDD/sMLp07cprr81i+fLlLFy4gGnTptYoc8/dd/Ptd9/y8COPYGY1tsnMzOTrr7+qdZvNmzczfPhwzKzGuk6dOpFfUADAkCFD6N69BwX5+Zx++ukcOmwYb775H/Lz88nI8JKLZ599huHDh9O/f3/SMzLIz/cSjPyCAjp27FijbPj6KuHrw7cTEREREYkl7TYpATj11FN55plneO65Zxk79kh69OhZvW7evA+46647efLJp+jUqdM223Ts2JF99t231m2OPe44kpKSttnffvvtx7Jly6rf77bbblRUVLBs2TLMDOccX371JXvvvTfgtd6c5rfEhJf9fskS9tt//xplw9dXCV8PVG8nIiIiIhJL2nlSchrvv/cef3/iCU47fesA9/Xr13PO2Wdz2223c+CBB9a6TXZ2Nl27dNlmmxtvvInu3bpTGaqkpKSEioqK6jJHH30MH86fR25uLm+//Tbx8fFMmjSZX/zi//hw/ny6devO67Nnc8qpp/DpJ5/w00/rOH7KFADS09OZfOyx3HjD9SxavJiOHTtWlw1ff/PNN1FYWMgnH39cY31JSQmL//c/xowZ02znU0RERERkR1jktLhtxaBBg9zcD+bVW27C+HF89dVXLF32A8nJyQDcdtut3HLzzaSnp29T/uSTT+b777/niy++ID09nf99/gWpqanV20RKTEzkjDPOYNXq1Rx04EE8/fQ/efvtdzh9+uks/f57zIz4+HiKi4vp3r07M6+/gWnTpvGbi3/NnDfe4P/O/z8uv+IKwHsOyQlTjufzzz+nV69e1WWrZGdnc9GFF/Lee+/SpUuXGuv/9a+XefGFF/jn089sE6OIiIiISG06ZGYsdM4Nbu79tPukpDGunzmTbt27c9FFFzXrNuFGjx7Fgw8+yD777Nsi24mIiIhI+6WkpJFaIikREREREWnLWiopaddjSkREREREJHhKSkREREREJFAxk5SY2Uwzc/4rZGY5ZvaZmd1sZjtFlDUzu8bMVptZsZl9YGYHBRR6nR544AEOGXTwNq+PP/qoSbcREREREWmtEoIOIEIeMM7/vSMwCLgA+D8zG+ecW+ivuwqYAVwBfAdcBrxtZvs559a3cMx1evmll1i6dOk2ywsKC5t0GxERERGR1ipmWkp8Fc65T/zXf5xztwIHAD8Bz5pZvJml4CUltzrnHnDOvQ1MBRzwq6ACnz9/Hj/88EOdZX5/7bVsyS9gS34BRx111A5tIyIiIiLS1sRaUrIN51wucCWwG3AUcBjQAXg+rEwhMAsYH0CI5OTkcMb06Zx5xvRa1/fs2ZOhQw/llptv5oMP5u7wNiIiIiIibVHMJyW+94EKYBiwF1AJRPZv+tZf1+L++te/kJWVxVVXXV3r+uTkZJ586ilSU1O5/bbbdngbEREREZG2qFUkJc65EmAz0BPoDBQ45yojiuUAaWaW1NLxvfXmW/To0YNJkydvt0yvXr0YN24cH330EcXFxTu0jYiIiIhIWxRrA93rYkEHsD3r1q2lf/8BmG0b4uWXX05xiZdQDBgwkMrKSjZu3LhD2/Tr1695D0REREREJACtIinxB7d3BTbgtYhkmFl8RGtJZ6DIOVfW0vGlp6eTlZVV67oJEydW/75p0yYAVmdnkpCUwU8bsvh6ZXyN8qtWrcQ6HEhaB5gzbw2Lvlzh7SMtrXmCl+2K/GzC7dsvsqFORERERHZUq0hKgNF4sX4MlAPxeAPfl4SV2QtvemAAFi9eTIfMjJaMcdv9ZRyw9XcXgqLvwBKZMGESlKyHihyGDzkA4lO9MgVfsMu+k6o3CYUqWbf0XeITUxk1+dfb3e+qr19rysNof8I/p2gVfNH0cYiIiIi0UzGflJhZJ+B2YBnwNpAIbMGbBvgmv0waMBn4S9V2Bx98MHM/mNciMX722WeMHTOaAw88kFdnvUbnzp0Br6UDwDnHI/fN4L03v+KUsy5lysm/YOl3n3PtZSfTf+dEZtzyVzIyOzJ+ZJ/qb+edc9x63YWs+baUX/7mBs46/4pa961v7Buv6nOK1viRfZopEhEREZHY0lJf8sfaQPcEMxvmv44ys6uAz4FewCnOuUp/0PttwDVmdpGZjQVewDuWPwUR9JAhQ7jgwgv5/PPPGT7sUF5++SXy8vIoKy1hyTeLuPUP5/Pemy+y6x77M3HK2QDsvteBjD/uTFb88A1XXHgsH38wh7y8PEpKivli8cdc+svjmPXyE+y93yGccub2W0lERERERFq7WGsp6YjXRcvhtYYsA54C/hTxpPbb8JKQq/HGmiwAjnLObWjZcLe69dbbiLM4HnroQc4+66xt1u934DAuufoekpKSq5edef5VxJnx+iv/4N7bLuXe2y6tsc0hh47i5j8+RXJySrPHLyIiIiISFHPOBR1Dsxg0aJBrqe5b4RYuXMg//v4EX3z5JeVlZaR26MXhP5vAoSOO2e42y77/kmWfv84XX37JloJy+uwykKPGT2X0UVPq3Z+6bzWeum+JiIiI1K5DZsZC59zg5t5PrLWUtHqHHHIIhxxySPX7aG54d9tjf359nvcw+rpmfBIRERERaYtibUxJu6eWj5anlg8RERGRYCkpaWa64RURERERqZuSkhiwo4mLWlVanpJMERERkaanpERERERERALVokmJmU0xs9VmVmBmB7fkvkVEREREJDa1dEvJXcCvnHMZzrnFLbzvFnX/fffx1FNPNvk2M357MmtWLYu6ztNPO41ly6IvL/DGK48z/71/R1VW51dERESk8Vo6KekHfF3bCjNrFdMTFxUVMX78OGbPnl29rLCwkHHHHM1bb70JQHZ2NrNmzeKkk6YC3jiE5/5+Jy8+eXeNupYv/ZIbrjyZTZs28f333/PEE4+z5LslXHzekZx38hCu/s0J/G9hzWetTJxyDi/+M/oH15951ln8+aEHd/Rw25S6PrsvF88HoCA/j8X/fZdDDx8fVZ06vyIiIiKNV29SYmYrzOxyM/vCzPLM7DkzSwlbf76ZLTOzbDN71cx2rqWOZDMrAOKBz83sh7C6f2dmXwCFZpZgZsPM7CMzyzWzz81sVFg9A8xsrpnlm9lbZvaAmT3VBOchamlpacy4dgZ33XkH2dnZANx7z93ss8++HHXU0QC8+uorjBg5gpSUrU9in3TiL1jyzUKWfrsIgPLyMl5++j4mnvBzunfvzl8eeZg+ffqyc++dmXHL3/nrM58ydfrF/OmOy9i0YW11PYOGjuabL/9Lbs6mqOIdNWoUn332GZs3b26qU9Bq1fXZ7X/wCAAWffoWe+47mMSk5Kjq1PkVERERabxoWyemAeOAEuBD4GzgYTMbA9wKHI3XAnIX8Czws/CNnXOlQIaZOeBA51x4f5dTgYnAZqAnMBs4A3gDGAu8ZGZ7Oec2AU8DH/v7O9Qv+0rDDrnxDjv8cEaMHMkdt9/GiSdN5c033+Sll/9Vvf7D+fM5/njvaexlZWWMHnUERUXFxMfH89iDMwAwM3r33ZVDhh0FwIIFC5kwYTwXXHAhAF+vjGPQkFF079GHH3/4mu49ewOQlJTMgF335YtFH3L4QZOr6y8uLiY52buRLi0tJSEhgfv/9ADDhg1j73324aOPPuTYY49rsXMUq7b32XXr1o0589aw5JsFDB7mJZcV5eXcdPUplJWWkpiYBMDvK8pqnNvk5GSdXxEREZFGirb71v3OuXXOuWxgFnCQv/x04DHn3CI/8bgaGG5m/RsQw/3OudXOuWJgOvC6c+5151zIOfcWsACYYGa7AEOAGc65UufcB34sgbjiiitZsGABV1z+Wy697Ld069atet2yZcvo178/AElJSVxx5e/Ydc8DufHeV9j3wOEkJiWRlJzC6edfy/iRfSgvLycvL5cxY8bW2EdezmbWr1tBn112q7F8574DWbViSY36hw49lI8/+ZSPP/mUPn368ueHH2bYsGEADBwwkO+XfN+MZ6N1qeuz27BuBd16etP+JiQmMunEX7Drngdy/d0vc/3dL29zbkHnV0RERKSxok1K1of9XgRk+L/vDKysWuGcKwCygN4NiGF12O/9gKl+161cM8sFRgC9/H3lOOcKw8qvJCAdOnRg1113paSkhLFjayYT+fn5pKenV79ftnQpO+3cH4AJU35OeVkpo46eSqfO3QFYtGghAF3Dbo4rKsp58O7fMXLMcezcZ2CN+lNT0ykqyK9R/+677w5AcVERa9asZvfd96hen5aeRn5+PuKp67MrLiokOTm1+v36dSuqP7uy0pJtzi3o/IqIiIg0VmMHl6/DSyQAMLN0oCuwdrtbbMuF/b4aeNI5d35kITPrB3Q2s/SwxGSXiO1bzOzXXmPdunUceuih3HfvvVw7Y0b1uszMTAoLt+ZOS5ctpe9uwwEoyM/FLI4+u2y9sZ0/bz4pKSnV24RCIf58z9Ws+OFbvv78E979zwvb7L979+416p8wYWL17926daNDhw7V64sKi8jMzGyiI2/96vrsUtMyKC0trn6/Yd0KDhoyGoABPQq3Obeg8ysiIiLSWI1NSp4BnjGzp4FvgVuAT51zK3awvqeAz8zsGOBtIBEYBixzzq00swXA9WZ2DTAUmAy82shjaLDsrCzuuutO7rjjTvoPGMCJJ0xhwsQJDBp0CAB77LEHK1euZL/99gO8lowhPzsVgJ/WLic+oeZpnz9/HrvvvjsrV65k3333ZeZ115GXu5kHHn+XpOQUIt064+dMO2lC9fvwlpLvl3xf/XuV5T8uZ+LEiU13Alqx+j67nXoPYPPGtfTt5yWN69etrG4pqe3cgs6viIiISGM1akpg59zbwAzgJeAnYFfglEbUtxo4DrgG2ITXcnJFWJyn4Q1wzwauA/4Rvr3/UMaRO7r/aN16262MGj2aIUOH0r17dy659FJuuP56ysrKABgxYiQLFy4AvOmBc3JymH6i11KyacMa4uPiq+tau2YNZWVlHHXU0SxcuICbb7qJH39czuXXPlhrQlJWVsqPP3zNsGHDa9Q/cKDXxevHFT+yS7/qxitKS0v59ptvqsu3d/V9dnvuM5gfl34JeNMDFxbk0WOnXYBtzy3o/IqIiIg0hXqTEudcfz/5qHo/0zk3Pez9w865XZ1zXZxzk5xza+qoy8Jn3oqs21/2qXPuCL++7s65ic65Vf665c65kf7DF4/Cm7ErfNsM51zNB3s0sXfffZf/LV7MpZdeVr3shBNOpHv37jzyyMMATJo8mfnz5lFSUsKypUvp06dv9fTAHTp2payslI0bVjN+ZB/mzZvHiBEjmTR5MnPfn8uLL77AkiVLuPCsIzh32mDOnTaYD99/rXpfi//7PnvvN5QePXoAbFN/jx49eOvNN/nyiy8AmDt3LoMHD6ku355F89kNOnQsS775jPKyUjas+5Eu3Xaqnh448tyCzq+IiIhIUzDnAhmS0STMbCawW3iSVGXQoEFu7gfNmp/U6f7776NLly5Mn35G9bI582rma+NH9uGiiy7klFNOZeTIkTW2+XplfGSVAPzh8lM4/9c3Mu5nA2tdH2n66acxc+b17FZLtyOpqerz+c+rT5Ce2YkRo4+vsX78yD7bbKPzKyIiIm1Zh8yMhc65wc29n1bxFPXW6OKLfxNVucGDBzNkyJCot7nhrmf93yqjqv+pfz4dVTnZ6phjz466rM6viIiISOM1akxJ0CK7ksW62r5pP+ecc2s8+V1EREREpL1p1UmJiIiIiIi0fkpKAlJbq4mIiIiISHukpCRG7dsvujEj0nSUKIqIiIgEQwPdW5hufEVEREREalJLiUgUlEyKiIiINB8lJSIiIiIiEiglJa2QxpuIiIiISFuipERERERERAKlpERERERERAKlpERERERERAKlpERERERERAKlpERERERERAKlpERERERERAKlpERERERERAKlpCSG6XkkLU9PbhcRERFpeUpKREREREQkUEpKREREREQkUEpKWhl16Wp56tIlIiIi0ryUlIiIiIiISKCUlIiIiIiISKCUlIiIiIiISKCUlIiIiIiISKCUlIiIiIiISKCUlIiIiIiISKCUlMQ4TQEsIiIiIm2dkhKRCHouiYiIiEjLUlLSiqjVpOUpQRERERFpfkpKREREREQkUEpKREREREQkUEpKREREREQkUEpKREREREQkUAlBByD10wD3lqcB7iIiIiItRy0lIiIiIiISKCUlIiIiIiISKCUlIiIiIiISKCUlIiIiIiISKCUlIiIiIiISKCUlIiIiIiISKCUlIiIiIiISKCUlIiIiIiISKCUlIiIiIiISKCUlIiIiIiISKCUlIiIiIiISKCUlIiIiIiISKCUlIiIiIiISKCUlIiIiIiISKCUlIiIiIiISKCUlIiIiIiISKCUlIiIiIiISKCUlIiIiIiISKCUlIiIiIiISKCUlIiIiIiISKCUlIiIiIiISKCUlIiIiIiISKCUlIiIiIiISKCUlIiIiIiISKCUlIiIiIiISKCUlIiIiIiISKCUlIiIiIiISKCUlIiIiIiISqISgAxARaajKdXlUbsgPOgyRVsvSEknYtTuWoO8mRSQ2KCkRkValcmM+Fcs2BR2GSKvm8kuoqAiRuG+voEMREQHUfUtEWhFXGaJyeVbQYYi0CaGsQkI5RUGHISICKCkRkVYktDEfV1YRdBgibUblqpygQxARAZSUiEgrUrluS9AhiLQpobxiQoVlQYchIqKkRERah1BBKa6wNOgwRNqc0EZNGiEiwVNSIiKtQmhTQdAhiLRJ+rclIrFASYmItAqhzYVBhyDSJrmSckIFaoUUkWApKRGRmOeKy3DF6vcu0lxCWUr6RSRYSkpEJOaFsjRtqUhzCmXr35iIBEtJiYjEPD1LQaR5ufxSXHll0GGISDumpEREYpoLOUJ5JUGHIdLGOUJ5xUEHISLtmJISEYlpLr8EQqGgwxBp81yukhIRCY6SEhGJaSHdKIm0CP1bE5EgKSkRkZjm1KVEpEW4ojKNKxGRwCgpEZGY5UKOUL6enyDSUjSuRESCoqRERGKWKyyFSo0nEWkpbosmlRCRYCgpEZGY5TTrlkiL0kx3IhIUJSUiErNC+tZWpEW5/FKcWidFJABKSkQkJjnn1JVEpMU5XIHGcYlIy1NSIiKxqbQCV1YRdBQi7Y5aKEUkCEpKRCQm6cZIJBgayyUiQVBSIiIxSV23RIIRyi/BORd0GCLSzigpEZGYpOeTiASkvBJK1HVSRFqWkhIRiTmuMoRTUiISGHWfFJGWpqRERGKON/uPuo+IBMXlKykRkZalpEREYo6+pRUJlv4NikhLU1IiIjFHg9xFguUKyvQQRRFpUUpKRCTmaDyJSND0EEURaVlKSkQkprjicj00USQGqAuXiLQkJSUiElNCGmArEhPUjVJEWpKSEhGJKeq6JRIb1FIiIi1JSYmIxJRQXnHQIYgIQHklrrgs6ChEpJ1QUiIiMcNVhHAFugkSiRWhLWq5FJGWoaRERGKGHpooElvcFrVcikjLUFIiIjFDXbdEYksoT+NKRKRlKCkRkZih2X5EYosrKsOVVwYdhoi0A0pKRCQmuJDTbD8iMUgtmCLSEpSUiEhMcIWlUBkKOgwRiaAWTBFpCUpKRCQmhHL1baxILNK4EhFpCUpKRCQmOCUlIjHJ5ZdoXImINDslJSISOI0nEYltGlciIs1NSYmIBM7ll2g8iUgMU0umiDQ3JSUiEjiNJxGJbaEc/RsVkealpEREAhfKKQo6BBGpgysuw5WUBx2GiLRhSkpEJFCuvFJTjoq0AvryQESak5ISEQmUbnREWodQlv6tikjzUVIiIoEKZRUGHYKIRCGUW4zThBQi0kyUlIhIYFzIaQCtSGsRCqllU0SaTUwkJWY208ycmS3dzvql/vqZYcv2MbN3zKzIzNaZ2Q1mFt9iQYtIo7mcIqjQQ9lEWovQZrVsikjziImkxFcCDDCzweELzWwI0N9fX7WsM/A24IDjgBuA3wLXt1SwItJ4lZsKgg5BRBoglF2kLlwi0iwSgg4gTCGwCDgFWBC2/BTgXeCQsGW/BFKBE5xzW4C3zKwDMNPM7vCXiUgMcxWhBn/r6kIhyktKqCgvw4VcM0Um0g6YER8fT2JKCvGJidFvV1FJKLuI+O4ZzRebiLRLsZSUADyLl1hc4ZxzZmbANOAP1ExKxgP/iUg+ngVuB44AZrVUwCKyY0JZhRCq/xvX0sJCCrKzKc7Lo7SoEOeUjIg0pcTkZFI7dCStUyfSO3XC4uruRBFav0VJiYg0uVhLSl4G/gyMAOYBI4Hu/vI7w8rthdd6Us05t8rMivx1SkpEYlzlT3nbXVdeUkJ+1mbyN2+mvETPMBFpTuWlpZRv2siWTRuJi48no0tXMrt1IyUzE++7wZpCOcW4knIspQEtLCIi9YippMQ5l2tmb+B12Zrn/3zDOZcX8YexM5BbSxU5/joRiWGh/NJtHphYWVFBYXY2+Zs3U5yvHpgiQQhVVrLFT1ASk5PJ7NadjC5dSEpLCyvlqPxpCwkDugYWp4i0PTGVlPieBe41s8uAk4CLA45HRJpY5ZpcnHOUFRdRnLeFwtxcSvK3qGuWSAwpLy0le+0asteuISkllbTOnUjr2JGUjEz4aQvxfTtjCbE0X46ItGaxmJS8CvwNuBlIp/auWDlAx1qWd/bXsXjxYjpkqs+rSCzqHpdOMnExNf2fiESvHMfmUBHlaCYuEWkaMZeUOOcKzew14FLgBedcbdPzfIc3dqSamfUF0vx1HHzwwcz9YF5zhysiIiIi0ma11Jf8MZeU+P4MJAMPb2f9HOAKM8t0zuX7y04GioG5LRCfiIiIiIg0kZhMSpxz7wPv11HkYbyxJi+b2e3AQGAmcLeeUSIiIiIi0rrEZFJSH+dcjpmNBR7AG3OSC9yDl5iIiIiIiEgrEhNJiXNuJvUkFM65bhHvvwHGNF9UIiIiIiLSEjT5jYiIiIiIBEpJiYiIiIiIBEpJiYiIiIiIBEpJiYiIiIiIBKpFkxIzm2Jmq82swMwObsl9i4iIiLRXn332GUcfdWTQYYhsV0vPvnUX8Cvn3CstvF8RERGRVm38+HFkZ2URHx9PXHw8AwcOZPKkyZx40knExanzi7RuLX0F9wO+rm2FmcXE9MQiIu3d+PHjGHzIIHJycmosP3naNA468ADWrl3bZPvKy8vj0ksuYdihQxk/7hhef312k9Ut0hbdd/+f+OjjT5gz5w3OPfdcHn/8MWZed13QYYk0Wr1JiZmtMLPLzewLM8szs+fMLCVs/flmtszMss3sVTPbuZY6ks2sAIgHPjezH8Lq/p2ZfQEUmlmCmQ0zs4/MLNfMPjezUWH1DDCzuWaWb2ZvmdkDZvZUE5wHEREJ07t3b96YM6f6/dKl31NSUtzk+7n1lptJTEzk3ffe55ZbbuWWm29m2bJlTb4fkbYmMzOTUaNGc/sddzJr1qssW7qUsrIy7v7jXYw75mjGjB7FTTfeSElJSa3bP/boo0yaOIHDhg/jhCnH8+477wBQXl7Oz0aOYOnS76vLZmdlMezQoWRnZ7fEoUk7FW1LyTRgHDAAOAA4G8DMxgC3+ut7ASuBZyM3ds6VOucy/LcHOud2DVt9KjAR6AT0BGYDNwFdgMuBl8ysu1/2aWAh0A24ETgryvhFRKQBJk2azKzXZlW/n/Xqq0yaPLne7WbMuJabb76Jiy68gOHDDuWss85k8+bN3HHH7YwccTjHH3cs3337LQDFRUW8/fbbXHTRRaSlpXHwoEEcccQoZr/2WrMdl0hbs//++9OzZ08WLV7Efffdy8qVK3nu+ReY9dpsNm7cwF8eeaTW7fr07ctjjz/B/A8/4he/+CXXXHM1mzZtIjExkWPGjWP2a1tbLee8MYehQ4fSpUuXljosaYeiTUrud86tc85lA7OAg/zlpwOPOecWOedKgauB4WbWvwEx3O+cW+2cKwamA6875153zoWcc28BC4AJZrYLMASY4Sc5H/ixiIhIE9v/gAMoLChg+fLlVFZW8sYbbzBx4qSotn3rzTe56Fe/5v25H5CUmMiZZ0xn77335v25H3DkUUdx1113AbBy5UoSEhLo179/9bZ77LkHP/yglhKRhujevTt5eXm89OKLXH7FlXTs2JH09HTO+/n5vPHGnFq3Ofroo+nRowdxcXEcM24cu/Trx1dffQXAsZOP5Y035uCcA2D2a68xcVL9X0qINEa04zjWh/1eBFR10doZWFS1wjlXYGZZQG9gRZR1rw77vR8w1czCr/xE4D1/XznOucKwdSuBvlHuR0REGmDSpMm8NmsWhww+hAEDB9KjR4+oths9Zgz77LMPAGPGjOX5559j8uRjATjmmGN49lmvQb2ouIj09PQa22ZkZFBYVNSERyHS9m3cuJHKykpKSko49dRTtq5wjsrKylq3mTXrVZ588knWrVsHeC2Xuf44sv0POICUlBQWfPYZ3bp3Z9Xq1YwaNaq5D0PaucYOLl+Hl0gAYGbpQFegIaMgXdjvq4EnnXPnRxYys35AZzNLD0tMdonYXkREmsjESZM479xzWLt2LZMb8C1p165dq39PTkmmS/j75BSK/aQjLTWNwsLCGtsWFhSSnpbWyMhF2o+vvvqKjRs3Mnr0GJ54/HFeeullevbsWec269at44brr+cvf/krBxx4IPHx8UybNhUXdks1+dhjmT17Nl27deWoI48kOTm5uQ9F2rnGzr71DHCOmR1kZsnALcCnzrkVO1jfU8BkMzvGzOLNLMXMRplZH+fcSryuXNebWZKZjQDUligi0kx23nlndu7dm/nz5zF27Ngmr79fv35UVFSwcuXK6mXff7+EXXfdrcn3JdLWFBQU8MHcuVz1uyuZOHEie+65J1NOOIG77rqT7KwsADZs2MBHH364zbbFxcWYGZ27dAbg3//+Nz9ETDAxceIk3n33HV6fPTuq8WQijdWolhLn3NtmNgN4CegMfAScUvdWdda32syOA+7AS3gqgf8CF/hFTgP+DmQDHwP/wBsgD4A/w9d459y8HY1BRES2mjnzerZs2UJqWhoVFRVNWndqWhpjxx7Jnx96kOuum8l3S5bw/vvv88Tf/9Gk+xFpS35z8a+955TExTFw4ECmn3EmU6dOBeCSSy7lkUce5owzppObm0uPHj2YOnUahx1+eI06dt11V84480zOPOMM4uLimDRpMgcddFCNMjvttBN77703q1avZtCgQ1rq8KQdqzcpcc71j3g/M+L9w8DD0ezMOWd11e0v+xQ4YjvbLwdGVr03s5mEJSVhM3yJiEgT6Nu3eYftXfP733PddX9g9OhRdOrUiWt+/3t2200tJSK1mTPnjTrXJycnc/HFv+Hii3+zzbohQ4bw5ltvV7//9a8v5te/vrjO+nbaqRf7H3AAZlZnOZGmYFUzK7RGflKym3NueuS6QYMGubkfqMFEREREpKHWrl3LySdP47lnn6N3nz5BhyMB6pCZsdA5N7i599PST3QXERERkRj24AMPcNKJJ3DWWWcpIZEW06pbSuqilhIRkeZxwpQp/PTTum2WXzvjD0ycODGAiEREpLm0VEtJY6cEFhGRdublf/0r6BBERKSNUfctEREREREJlJISEREREREJlJISEREREREJlJISEREREREJlJISEREREREJlJISEREREREJlJISEREREREJlJISEREREREJlJISEREREREJlJKSVuLrlfFBhyAiIiIi0iyUlLQCSkhEREREpC1TUiIiIiIiIoFSUiIiIiIiIoFSUiIiIiIiIoFSUtKKaGyJiIiIiLRFSkpERERERCRQSkpERERERCRQSkpinLpsiYiIiEhbp6REREREREQCpaREREREREQCpaREREREREQCpaREREREREQCpaREREREREQCpaSkldFsXCIiIiLS1igpERERERGRQCkpERERERGRQCkpiWHqqiUiIiIi7YGSEhERERERCZSSEhERERERCZSSEhERERERCZSSEhERERERCZSSEhERERERCZSSEhERERERCZSSEhERERERCZSSEhERERERCZSSklZID1UUERERkbZESYmIiIiIiARKSYmIiIiIiARKSUmMUhctEREREWkvlJSIiIiIiEiglJSIiIiIiEiglJSIiIiIiEiglJSIiIiIiEiglJSIiIiIiEiglJSIiIiIiEiglJSIiIiIiEiglJSIiIiIiEigEoIOQHbM1yvj2bdfZaPqcA6yC4ycAqO8wpoospYVH+fokObo3tERrxRbREREpFVSUtJOVVTC6k1xFJW2zmSkSihkZG0x8godu/QIkZoUdEQiIiIi0lD6brkdqqiEFRtaf0ISrqLSWLEhnuKyoCMRERERkYZSUhKDvl4Z32x1h5zXQlJa3nYSkiqhEKzaGE9ZRdCRiIiIiEhDKClpZ9bnWJtqIYlUUQlrNscRckFHIiIiIiLRUlLSjmwpMnLy2/5HXlxqbMxtu4mXiIiISFvT9u9QBYDyClib1X4+7qwtcRQUBx2FiIiIiESj/dyltmPOwdrsOEKhoCNpWWuz4qho3KzJIiIiItIClJS0AzkFRmFx++vOVFFprM/RJS4iIiIS63TH1opFM0tXaTmsz22/H3NeoZFb2P4SMhEREZHWJGbuVs1sppk5/xUysxwz+8zMbjaznSLKXmhms80syy8/KpioY1vIeV2YXDvrthXpp+w4TRMsIiIiEsNiJinx5QHDgcOAU4CXgTOAL83skLByZwJdgP+0eITNrCmfUbIp1yhuw9P/RisU8pMzTRMsIiIiEpMSgg4gQoVz7pOw9/8xsz8DHwDPmtlezrlK4DDnXMjM9gNODSTSGJdfDJu3xFrOGZyiEmNjntGzkzITERERkVgT83etzrlc4EpgN+Aof1k775BUt9JyWLO5+Z4K31ptzotjS5FajkRERERiTcwnJb73gQpgWMBxxLyKSli1qf1N/xutNVlxFJcGHYWIiIiIhGsVSYlzrgTYDPQMOpZYVhnyEpKycrUGbI8LwcpN8ZSUBR2JiIiIiFRpFUmJT3fadSivgBUb4jSwPQqVlbBiYzxFajERERERiQmxNtC9VmaWAnQFNgQdS3MrL68kK7eYLQVlOOfomJlMj67pxMXVnmx8vTKe/j0rWbM5jopKJSTRqqyEFRvi2alziC6ZjRv8PmfemiaKqm0bP7JP0CGIiIhIjGoVSQkwGi/Wj6PdYPHixXTIzGi+iJqLJbBNo5CrhJS+EJ+27fKyTcRTBKaEZEdVlpc0eJu0jr3p1GNPzFpTY2OwLvN/5uesZMumpYHGIiIiIrEl5pMSM+sE3A4sA96OdruDDz6YuR/Ma66wWlwo5FixroC1G4oIhRw9uqQwoE8mKcmaZSsohSWwalO8JhWIkhn06hKic4amZRYREWktWupL/lhLShLMrGqGrUzgEOACIA0Y5z+jBDMbDPQH+vpljzCzbsAK59yClg25ZcTFGQP7ZDKwT2bQoYgvPQUG9KxkxcZ4KiuDjia2mUGfbiE6pCkhERERkW3FWlLSEa+LlgO24LWOPAX8yTm3Pqzcr4Czwt7P9H/+HTi72aMU8aUkQb8elazYoBaT7TLo3VUJiYiIiGyfOdc2bxQGDRrk2lL3LYlt+cVeVy7a5j+nRunZOUS3DjoxIiIirVGHzIyFzrnBzb0fjdIVaQKZqdCjo5pKInVMd0pIREREpF5KSkSaSPeOjoxU3YBXSUp09OqiRE1ERETqp6REpAn17hoiQROiVQ9sj9dfGBEREYmCbhlEmlBCPOzcRVNxde8YIjUp6ChERESktVBSItLEMtOgc0b77baUlqxxJCIiItIwLTolsJlNAe4HOgMjnXOLW3L/UreDDjygSer53+dfNEk9rVnPzo7CUkdZuVUvO/3YfZuk7n+++nWT1NMc4uJg564hzOovKyIiIlKlpZ9TchfwK+fcKy2831bh/vvuo0vXLkyffkaT1nv6aadx/Q03sNtuu9VZrqmSieY6Doj+WIIWHwc7dwmxYuPWaYKbKpl49u/30LFTV8Yfd2aT1LcjZvz2ZH7xm5vps0vNz6FnpxDJiQEFJSIiIq1WS3ff6gfUemdmZrH2IMcmU1RUxPjx45g9e3b1ssLCQsYdczRvvfUmANnZ2cyaNYuTTpoadb0bN27kyLFjmHnddYwfdwyHDR/GtGlTmT+/5vNZzjzrLP780INR1/v667M57dRTGD7sUI4cO4aLLryAxYsWATB+/DgOHTqE4cMOZeyY0cyYcS1FRUXV2+7ocRx91JE1lq1cuZKhQwZzzdVXN+pYgpSeAt06bNuN68O5r3HtZdM4d9pgLjrrCG6f+QuWfLMQgN/8/CjOPmkQ504bzIVn/oyH772GkuLC6m235GUz/71XGTtuWpPHm5O1kV+dM6bGsvXrVnL2iQfz0B9/V2P5xCnn8OI//1RjWWaao0umum2JiIhIw9WblJjZCjO73My+MLM8M3vOzFLC1p9vZsvMLNvMXjWznWupI9nMCoB44HMz+yGs7t+Z2RdAoZklmNkwM/vIzHLN7HMzGxVWzwAzm2tm+Wb2lpk9YGZPNcF5aFZpaWnMuHYGd915B9nZ2QDce8/d7LPPvhx11NEAvPrqK4wYOYKUlJS6qqph/vx5HHbY4fTcqSd/e/Qx5n/4Eb+66FdcecUVrF27trrcqFGj+Oyzz9i8eXO9dT75j39w5x13cN55P+fdd99jzhv/Ydq0k3nv/feqy9x3/5/4+JNPee75F1jy3Xc8+ujfqtft6HEcfvjhNZbdesst7Lvvtt2dGnIssaBHR0da8tYb9df//QRP/e12jjvpfB76xwfc9+jbHDXhFBZ+uvX8Xn7tgzz2/AJuue8lVi7/lldf3Hp+P3jn3xw4eCRJydGf32j9b+EHHDhoRI1ljz98EwN332+bsoOGjuabL/9Lbs4mABITHL27tt9xNCIiItI40bZOTAPGASXAh8DZwMNmNga4FTgarwXkLuBZ4GfhGzvnSoEMM3PAgc65ZWGrTwUmApuBnsBs4AzgDWAs8JKZ7eWc2wQ8DXzs7+9Qv2yr6Ap22OGHM2LkSO64/TZOPGkqb775Ji+9/K/q9R/On8/xx08BoKysjNGjjqC4uJjk5GQASktLSUhI4P4/PcCwYcMAmD9vPhMnTmTskVtbGX52xBH07t2bb7/9ht69ewOQnJzM3vvsw0cffcixxx633Rjz8/N56KEHuf6GG2vUecSoURwxatQ25bt168bwww5jyZIltR4HwE033sjLL79EQkIC8fHxhEIhysrKOPHEk7h2xowax1HljTlzyOyQyYEDD2T1qtU19hntscSKqqlxl6+PY8uWAl58+gF+cfHNDDnsqOoyg4aOZtDQ0dts26lzd/Y/+HBW/vhd9bLPF87jiCNPaHAcjz50Pe+9+SIJ8QnE+Z9DRXkZo4+ZynkXXgfA/xbMY8SoSdXbfPzB66SnZ9J7r4PY8NOqGvUlJSUzYNd9+WLRhxxx5PH01fS/IiIi0gjR3kbc75xb55zLBmYBB/nLTwcec84t8hOPq4HhZta/ATHc75xb7ZwrBqYDrzvnXnfOhZxzbwELgAlmtgswBJjhnCt1zn3gx9JqXHHFlSxYsIArLv8tl172W7p161a9btmyZfTr3x+ApKQkrrjydwwdeigff/IpH3/yKX369OXPDz9cnZCUl5ezaNFChg0fXmMfWVlZrFy5kl13rdnXf+CAgXy/5Ps64/vii88pKytjzJgxdZarsmHDej6cP5++ffvWehwA186YwQEHHMjvr53Bx598yn33/4mdevWqTkgij6OgoICHHnqIyy+/fLv7jeZYYkliAuzSI8Sy7/9HeVkZg4ePjWq7rM3r+XzRfHr22qV62eqVS+nVp3+DYzjvwuvYfc8DOefCP/DY8wu4/NoH6dq9V3VCUlFRzndfL2C/gw4DoKjIS6BOP+/K7da5c9+BrFqxhD7dQqQmNzgkERERkWrRtpSsD/u9CKjqorUzsKhqhXOuwMyygN7AiijrDv8qvB8w1cwmhy1LBN7z95XjnCsMW7cS6Esr0aFDB3bddVc+//xzxo6teWOan59Penp69ftlS5ey++67A1BcVMSaNavZffc9qtcvWrSQPfbYo8Y25eXlXHP1VUyefCwDBgyoUX9aehqbN9Xd5Sk3N49OnTqRkFD3ZXHpJb/BzCgqKmLo0KFccMGF2z2O+kQex4MPPsCUKVPo2XOn7W4TzbHEmtQkSLEcMjt0Ij6+7vN79y2/xswoKS5i3wMO5cRTL6peV1SYT2pq9Oc3Wt99vZB+A/YkNc2r+8V//olRR51A127b/xxSU9MpK9pIhzSNIxEREZHGaezg8nV4iQQAZpYOdAXWbneLbYXf0awGnnTOnR9ZyMz6AZ3NLD0sMdklYvuYNvu111i3bh2HHnoo9917b3VrAUBmZiaFhVvzraXLljJhwsTq37t160aHDh2q18+fN58RI0ZWvw+FQlz7+9+TkJjIVRGDwwGKCovIzMysM75OnTqSm5tLRUVFnYnJPffex7Bhw1iwYAFXX3UVubm51bFFHkd9wo/ju+++49NPPuW555+vc5tojiUW9ejWkYL8XNJTyiksTdzulXvZNX9iv4OG8+1Xn/HgXVeSvyWH9Azv/KZndKC4uOb5vemas/n2q89qrWuPvQ/mutvrH3b1vwUfcOAhXq/LFcu/5av/fcwt97643fJpKY6kuAIyO7e+z0FERERiT2OTkmeAZ8zsaeBb4BbgU+fcih2s7yngMzM7Bngbr5VkGLDMObfSzBYA15vZNcBQYDLwaiOPoUVkZ2Vx1113cscdd9J/wABOPGEKEyZOYNCgQwDYY489WLlyJfvt5w0qDm8p+X7J99W/V5k/fx5/vPseAJxzzLzuOrKysnjgwQdJTNx2TtblPy6vMW6jNgcccCCJiYm899671QPw6zJ48GCOPe5Y7r77j9x77321Hkd9wo9jwYLPWLduLeOO8fZdVFREKBTilJN/4NnntiYq0RxLLKo6v0u/eJsxY4+mohJcRGKSEA+9uoTYtVclu/YaxOqlx/LKM3dyx11V53d3QoU/smuvfaq3efzxR+vZs/eE+ZQkb+D9rr0qyVoVIiEedu3lrfvm8w+47Y57GNCrks/e+5SsTWu59HxvXFFxsfc5XH/FMp785/PEx3lxrlrZOj8HERERiT2NGprqnHsbmAG8BPwE7Aqc0oj6VgPHAdcAm/BaTq4Ii/M0vAHu2cB1wD/CtzezAjMbSQy69bZbGTV6NEOGDqV79+5ccuml3HD99ZSVlQEwYsRIFi5cAHjT6ubk5DBw4EAAflzxI7v0q26QYu2aNZSVlVWvv/mmm/jxx+Xc/6c/1TrrVWlpKd9+8w3Dhg3fZl24zMxMLrzwIm695RbeffddiouLKS8vZ/78edxzz921bnP66dP55OOPqwe7hx9HbZKTkijx6408jhNPPInXZr/Oc8+/wHPPv8DUqVMZOXIkD/354QYfSywKP79z33+XUEUx8VbOgv/O488P3k1KkjcwPinRSyBSkuCsM6fz308/ZuWPS0hJgiN+NpIvPl9Qvb4hrzjzxrekJEFmehKlJd7+szauoaK8jL33HEhKEpx8svc5PP/CCzz/wtbP4eGHHyY50UtIWvPnICIiIrGn3qTEOdffTz6q3s90zk0Pe/+wc25X51wX59wk59yaOuqy8Jm3Iuv2l33qnDvCr6+7c26ic26Vv265c26kcy7DOXcU3oxd4dtmOOdqPqQjBrz77rv8b/FiLr30suplJ5xwIt27d+eRR7wb7kmTJzN/3jxKSkpYtnQpffr0rU4wevTowVtvvsmXX3gPN5w3b151l6d169bx4osvsGTJEsaOGc3wYYcyfNihNZ6JMnfuXAYPHkKPHj3qjfXMs87it5dfwd/++hdGjzqCcccczbPPPsvo0bUPfu/SpQuTJ0/mL7UcR2122313UlJTOfecs2scB0BqairdunWrfqWmpZGUlEyXLl126FhiUXOf32i1989BREREYou5yP4jrYiZzQR2C0+SqgwaNMjN/SDm8pM63X//fXTpUv+T0C+66EJOOeVURo6MrlFo+umnMXPm9ewW0QWsuTTXcUDLH0ssivb8Rkufg4iIiGxPh8yMhc65wc29HyUlrdDjjz/Gqaee1qAHFMaitnIcrZ0+BxEREdkeJSWN1JaTEhERERGRltBSSYmewSwiIiIiIoFSUiIiIiIiIoFSUiIiIiIiIoFSUiIiIiIiIoFSUiIiIiIiIoFSUiIiIiIiIoFSUiIiIiIiIoFSUiIiIiIiIoFSUiIiIiIiIoFSUiIiIiIiIoFSUiIiIiIiIoFSUiIiIiIiIoFSUiIiIiIiIoFSUiIiIiIiIoFSUiIiIiIiIoFSUiIiIiIiIoFSUiIiIiIiIoFSUiIiIiIiIoFSUiIiIiIiIoFSUiIiIiIiIoFSUiIiIiIiIoFSUiIiIiIiIoFKCDoAEZGGyl21lvy163HOBR2KSKuUnJlO9713Jy5BtwEiEhv010hEWpX8nzaw8avvgg5DpFUryc2jsryCnQftH3QoIiKAum+JSCsSqqxk07dLgw5DpE0oWL+Rwk1ZQYchIgIoKRGRVmTL2vVUlJQGHYZIm5GzfFXQIYiIAEpKRKQVyVu1JugQRNqUoqxsSvMLgg5DRERJiYi0DqVb8indopsnkaaWv25D0CGIiCgpEZHWQTdOIs0j/yf92xKR4CkpEZFWoWDj5qBDEGmTyouKKd2SH3QYItLOKSkRkZhXVlhEWUFh0GGItFmFGzULl4gES0mJiMS8QrWSiDQrtUSKSNCUlIhIzCvanB10CCJtWmneFirLy4MOQ0TaMSUlIhLTXChEcXZu0GGItGnOOf07E5FAKSkRkZhWkruFUGVl0GGItHlFWTlBhyAi7ZiSEhGJafr2VqRlKCkRkSApKRGRmFaUrRslkZZQll9AZVlZ0GGISDulpEREYpYLhSjJ3RJ0GCLtRnFOXtAhiEg7paRERGJWaX4hoYqKoMMQaTeKc3KDDkFE2iklJSISs4rVdUukRRVnq6VERIKhpEREYpa6koi0rNIt+ZrtTkQCoaRERGKSc46SXCUlIi3JhUKU5uUHHYaItENKSkQkJlWUlFJRUhp0GCLtjlooRSQISkpEJCZpwK1IMPRvT0SCoKRERGKSpgIWCUbplnycc0GHISLtjJISEYlJJepCIhKIipJSKopLgg5DRNoZJSUiEnNClZWUbtFgW5GgqAuXiLQ0JSUiEnNK89R9RCRIJZqBS0RamJISEYk5xZoKWCRQxdm5QYcgIu2MkhIRiTka5C4SrLL8Aj1EUURalJISEYk5emiiSLCcc3qIooi0KCUlIhJTyouK9dBEkRighyiKSEtSUiIiMUXjSURig1osRaQlKSkRkZiiLiMisaEkT2O7RKTlKCkRkZhSlJUTdAgigvcQxbLCoqDDEJF2QkmJiMSMUEUFZfkFQYchIj514RKRlqKkRERiRokemigSUzQ9t4i0FCUlIhIz9MA2kdhSpH+TItJClJSISMwozskNOgQRCVOWX0BlWVnQYYhIO6CkRERigguF1FVEJAYV69+liLQAJSUiEhNKtxQQqqgIOgwRiVCcrRnxRKT5KSkRkZhQpBsfkZhUnJUbdAgi0g4oKRGRmFCs55OIxKSSvC1UlpcHHYaItHFKSkQkcC4UojhHz0MQiVWaGU9EmpuSEhEJXEnuFo0nEYlhRWrJFJFmpqRERAKnGx6R2Fa0OTvoEESkjVNSIiKB0w2PSGwrKyikvLgk6DBEpA1TUiIigaosL9dDE0VaAX15ICLNSUmJiASqcFNW0CGISBQKN24OOgQRacMSgg5ARNq3wo0NS0pceSWUVOBCoWaKSKQdMMMSEyA1AYtyk6LN2YQqK4mLj2/W0ESkfVJSIiKBcaEQRVG0lDgHLreYUHYhrkTPSxBpMvFxxHVKJa5rBpZYd+eJUGUlRVk5ZPTo1kLBiUh7EhPdt8xsppk5M1u6nfVL/fUz/fe7mdkjZvaFmVWa2fstGa+INI3Czdn1PpTNFZRSuXQTletylZCINLXKEKGsQiqWbqJyUwHO1V284KcNLROXiLQ7MZGU+EqAAWY2OHyhmQ0B+vvrq+wLTACWAN+3VIAi0rQK1m/c7jpXGaJyTS4VK7Nx5XqGiUizciFCG/Op/GETrnj7yX/hxix1nRSRZhFLSUkh8C5wSsTyU/zlhWHLZjnn+jrnpgJft1B8ItKEQpWVFKzfVOs6V1BK5bLNhPKKWzgqkfbNlVZQsTzLazWpZX1leTkFG2r/dysi0hixlJQAPAtMMzMD8H9O85dXc87paxqRVq5g/cZtnuLuQo7K9Vu81pGKyoAiE2nvnNdqsjwLV7ZtK+WWtesDiElE2rpYS0peBnoCI/z3I4Hu/nIRaUPyVq2r8d4VlnmtI1mF29lCRFqSKy6jYlkWlZsLa4w1KdqUpQcpikiTi6mkxDmXC7zB1i5cpwBvOOfyAgtKRJpc6Zb86gcmurJKb+zIiiyNHRGJNS5EaMMWb6xJQam3yDnyVq0NODARaWtiKinxPQucZGbJwElEdN0SkdYv58dVuOJyLxlZukljR0RinCutoGJlNhXLswjlFZO7cs023S9FRBojFp9T8irwN+BmIB2YtSOVLF68mA6ZGU0Zl4g0ke6WTJolBR2GiOygSkKsDxWitEREmkrMJSXOuUIzew24FHjBObdDHcwPPvhg5n4wr2mDExERERFpR1rqS/6YS0p8fwaSgYeDDkRERERERJpXTCYlzrn3gfe3t97M0vAengjQG+hgZif57193zhU1a4AiIiIiItJkYjIpiUIP4IWIZVXvBwArWjQaERERERHZYTGRlDjnZgIz6ynTLez3FYA1a1AiIiIiItIiYnFKYBERERERaUeUlIiIiIiISKCUlIiIiIiISKCUlIiIiIiISKCUlIiIiIiISKBaNCkxsylmttrMCszs4Jbct4iIiEh79dlnn3H0UUcGHYbIdrV0S8ldwK+ccxnOucUtvG8REYnC+PHjGHzIIHJycmosP3naNA468ADWrl3bZPt69plnOO3UUxgy+BBmzLi2yeoVaYvGjx/HoUOHcNjwYYwYcThnnnkGLzz/PKFQKOjQRBqtpZOSfsDXta0ws5h4ZoqIiEDv3r15Y86c6vdLl35PSUlxk++ne/fu/Pz8/+P4449v8rpF2qL77v8TH338CXPmvMG5557L448/xszrrgs6LJFGqzcpMbMVZna5mX1hZnlm9pyZpYStP9/MlplZtpm9amY711JHspkVAPHA52b2Q1jdvzOzL4BCM0sws2Fm9pGZ5ZrZ52Y2KqyeAWY218zyzewtM3vAzJ5qgvMgIiJhJk2azKzXZlW/n/Xqq0yaPLne7WbMuJabb76Jiy68gOHDDuWss85k8+bN3HHH7YwccTjHH3cs3337bXX5sUceyZgxY+jYqVNzHIZIm5WZmcmoUaO5/Y47mTXrVZYtXUpZWRl3//Euxh1zNGNGj+KmG2+kpKSk1u0fe/RRJk2cwGHDh3HClON59513ACgvL+dnI0ewdOn31WWzs7IYduhQsrOzW+LQpJ2KtqVkGjAOGAAcAJwNYGZjgFv99b2AlcCzkRs750qdcxn+2wOdc7uGrT4VmAh0AnoCs4GbgC7A5cBLZtbdL/s0sBDoBtwInBVl/CIi0gD7H3AAhQUFLF++nMrKSt544w0mTpwU1bZvvfkmF/3q17w/9wOSEhM584zp7L333rw/9wOOPOoo7rrrrmaOXqT92H///enZsyeLFi/ivvvuZeXKlTz3/AvMem02Gzdu4C+PPFLrdn369uWxx59g/ocf8Ytf/JJrrrmaTZs2kZiYyDHjxjH7tdnVZee8MYehQ4fSpUuXljosaYeiTUrud86tc85lA7OAg/zlpwOPOecWOedKgauB4WbWvwEx3O+cW+2cKwamA6875153zoWcc28BC4AJZrYLMASY4Sc5H/ixiIhIM5g0aTKvzZrFJ598zICBA+nRo0dU240eM4Z99tmH5ORkxowZS3JyMpMnH0t8fDzHHHMM3y35rpkjF2lfunfvTl5eHi+9+CKXX3ElHTt2JD09nfN+fj5vvDGn1m2OPvpoevToQVxcHMeMG8cu/frx1VdfAXDs5GN54405OOcAmP3aa0ycVH9LqUhjRDuOY33Y70VAVRetnYFFVSuccwVmlgX0BlZEWffqsN/7AVPNLPzKTwTe8/eV45wrDFu3Eugb5X5ERKQBJk6axHnnnsPatWuZ3IAbkq5du1b/npySTJfw98kpFBcVNWmcIu3dxo0bqayspKSkhFNPPWXrCueorKysdZtZs17lySefZN26dQAUFxWR609usf8BB5CSksKCzz6jW/furFq9mlGjRjX3YUg719jB5evwEgkAzCwd6Ao0ZGoWF/b7auBJ59z5kYXMrB/Q2czSwxKTXSK2FxGRJrLzzjuzc+/ezJ8/j5kzZwYdjojU4quvvmLjxo2MHj2GJx5/nJdeepmePXvWuc26deu44frr+ctf/soBBx5IfHw806ZNxYXdUk0+9lhmz55N125dOerII0lOTm7uQ5F2rrGzbz0DnGNmB5lZMnAL8KlzbsUO1vcUMNnMjjGzeDNLMbNRZtbHObcSryvX9WaWZGYjALUliog0o5kzr+cvf/0bqWlpzVJ/RUUFpaWlhCpDhCpDlJaWUlFR0Sz7EmlLCgoK+GDuXK763ZVMnDiRPffckyknnMBdd91JdlYWABs2bOCjDz/cZtvi4mLMjM5dOgPw73//mx+WLatRZuLESbz77ju8Pnt2VJNciDRWo1pKnHNvm9kM4CWgM/ARcErdW9VZ32ozOw64Ay/hqQT+C1zgFzkN+DuQDXwM/ANvgDwA/gxf451z83Y0BhER2apv3+btIfvXv/6FRx5+uPr97Nmv8Ytf/pILLriwWfcr0lr95uJfEx8fT1xcHAMHDmT6GWcydepUAC655FIeeeRhzjhjOrm5ufTo0YOpU6dx2OGH16hj11135Ywzz+TMM84gLi6OSZMmc9BBB9Uos9NOO7H33nuzavVqBg06pKUOT9oxqxrE1BqZ2UxgN+fc9Mh1gwYNcnM/UG4iIiIisiOu+8Mf6N6jO7/61a+DDkUC1CEzY6FzbnBz76elH54oIiIiIjFu7dq1vPPuO0w5fkrQoUg7oaeoi4hIg5wwZQo//bRum+XXzvgDEydODCAiEWlKDz7wAE899STnnncevfv0CTocaSdadfetuqj7loiIiIhI46j7loiIiIiItAtKSkREREREJFBKSkREREREJFBKSkREREREJFBKSkREREREJFBKSkREREREJFBKSkREREREJFBKSkREREREJFBKSkREREREJFAJQQcg0u44R1zBl1jpWnAu6GgazCV1JZQ5COISgw5FRERE2gi1lIi0MCv+AStZ0yoTEgAryyKu4KugwxAREZE2REmJSEsKlRJX9EPQUTSalf4E5TlBhyEiIiJthJISkRZkJavAVQYdRpOIK/4x6BBERESkjVBSItJSnCOueHXQUTQZK9sAlSVBhyEiIiJtgJISkRZi5VkQakM38c5hZT8FHYWIiIi0AUpKRFqIla4POoQmF1eqpEREREQaT0mJSEtwDivbGHQUTa88V124REREpNGUlIi0hIq8ttV1K4yVbwo6BBEREWnllJSItIC2fONuZW332ERERKRlKCkRaQFxZZuDDqHZWHkWuFDQYYiIiEgrpqREpLmFKrzuW21VqBwqtgQdhYiIiLRiSkpEmplVZLf5lgQrzwo6BBEREWnFlJSINDMrzw46hGbXHo5RREREmo+SEpFm1h5u2K08B5wLOgwRERFppZSUiDSntj6epIprJ8cpIiIizUJJiUgzsorcdtOCYBU5QYcgIiIirZSSEpHmVJEbdAQtxspzgw5BREREWqmEoAMQacusvPbWA+ccoYoKoPW1osTFJ2Bx236fsb1jFREREamPkhKR5uKc130rQnlJMVmrfqCitKTlY2oCcfEJdOk7gJTMjjVXhEqgsgji04IJTERERFotdd8SaS6VBd6DBcMXlZez+celrTYhAQhVVrB55Q+UFRVus05duERERGRHKCkRaSa1tZLkrltFZUVZywfT1FyI7DUrcKGaD4XUYHcRERHZEUpKRJpJ5BiL0sICire0nZv2itJiCnM211imcSUiIiKyI5SUiDSTyJaSLRvWBRNIM8rfuL5ma0llAbjK4AISERGRVklJiUhzCJVDRUH127LiIkoLtwQYUPOorCijKC+sdcSF9BBFERERaTAlJSLNIHJsRWHWxoAiaX6Rx6YuXCIiItJQSkpEmkNYa0GosoLC3OwAg2leZcWFlBUXVb83tZSIiIhIAykpEWkG4a0FRXk5XremNqwwe+uAd7WUiIiISEMpKRFpas7VaC0oyskKMJiWUZyXvXXAe6jUe4iiiIiISJSUlIg0tcrC6ocmVpSWUFZUUM8GrV+osoKSgq0D+dWFS0RERBpCSYlIE7PyreNHitrwWJJI4S1CVt72W4dERESk6SgpEWli4c8nqTFdbhtXUpBHqNJ7RomV5wYbjIiIiLQqSkpEmlhVUlJeUkxFaXGwwbQgFwpRku9329JDFEVERKQBlJSINKVQWfVDE9tTK0mVojy/u5oLaRYuERERiZqSEpEmFH4jXpzXfsaTVCnJ30KossJ7E9aNTURERKQuSkpEmlDVk9y9rlslAUcTABeiJN+bhUstJSIiIhItJSUiTajqRrw9zboVqerYrTwHnAs4GhEREWkNlJSINBVXCf7zOYq3tN9WgpKCLd4sXK4CKrfUv4GIiIi0e0pKRJqI1zIQoqy4qH123ariQhRvyQVqPrNFREREZHuUlIg0Ff8GvLgdzroVqaqlSEmJiIiIRENJiUgTifOfYq6kZOssXBpXIiIiItFQUiLSFEIVUJHndd0qa8ddt6q4EMV5ud5zWzSuREREROqhpESkCVhFNrgQRblZQYcSM6pn4SrbHHAkIiIiEuuUlIg0ASvbjAuFKM5V160qpYVbqCwvw8qVqImIiEjdlJSINAEr30xpYT6VFWVBhxJTinKzvcHuoYqgQxEREZEYpqREpLEqi6GigMIctQhEKszZDC6k1hIRERGpk5ISkUayso1UVlRUP5tDtqooLaG0sAAr2xR0KCIiIhLDlJSINJKVbaTIbxGQbRVmb8LKNgYdhoiIiMSwmEpKzOx9M3txO+sWmNkTYe8PN7NPzazEzH40s4tbLFCRKqFyKNtMQbZaAranKC+HyrICKNckACIiIlK7mEpKomVmuwH/AX4EJgCPAHeb2c8DDUzaHSvbRMmWHCrLSoMOJXa5EIXZm4grXR90JCIiIhKjEoIOYAddAawDpjvnKoB3zWwX4Doze9Q5PUJaWoaVriV/k26261OQtZHMnusgfS8wCzocERERiTGtsqUEGA+87CckVZ4F+gD7BROStDuhUspyfqSsqCDoSGJeqKKcwk2roSI76FBEREQkBrW6pMTM0oG+wHcRq771f+7VshFJe2Wl68hbvyboMFqN/E3roXBl0GGIiIhIDGp1SQnQyf+ZG7G8ahRt5xaLRNov5yhd/z+1kjRAZUUZhWv/500OICIiIhKmNSYlIoFzJevJXbMk6DBanS0b11GZF9nIKSIiIu1drCUlFUD8dtbF++tz/fcdI9ZXtZBo3lFpdluWv0dleVnQYbQ+LkTu0rm4UGXQkYiIiEgMibXZtzYB/bezrhew0TlXaGar2XbsSNX77wAWL15Mh8yMZgky1hy9D3RNDzqK1qm8Ev79P6ho4HMPM1NAc0jtuC0lVwUdgoiIiMSQWEtK5gEnmllv59zaqoVmdijQ018PMAeYYmbXOueqvnI9GVgNfAVw8MEHM/eDebQHoS3L2bjoGX37vAO67jmKx3r/LOgwRERERGJSS33JH2vdt/4BrAI+MLNzzGyMmV0EzAI+wntgIsCdeNP/Pmlmo83sSuAXwA3t8RklcZn96dhrQNBhtDqpHbuQ1HNQ0GGIiIiItHsxlZQ45wqAn+G1iNyGl4RcDTwHjHfOhfxyy4BxwG54rSYXAr91zv0tiLgDZ3Gk9R5EQlJK0JG0HhZHh777QUL76OInIiIiEstirfsWzrl1wNlRlJsPDG32gFoJl7oLHXruTPbq5UGH0iqkd+5GfIfdaXfNaiIiIiIxKKZaSqQR4tNI7TaQhGS1ltTL4ujQsw8uqWfQkYiIiIgISkraFJeyM5nddgo6jJiX1qkLcem9IS7mGgpFRERE2iUlJW2IS+5FWueuxCUkBh1KTMvo2gOXvHPQYYiIiIiIT0lJWxKXjCV1Ib1zt6AjiVlJaRkkpWXiknSORERERGKFkpI2JpTUk/Qu3dCj/WqX0bUHLrErWHzQoYiIiIiIr0WTEjObYmarzazAzA5uyX23Fy6pBwlJySRnZAYdSsyJi08gtUMnXLIGuIuIiIjEkpZuKbkL+JVzLsM5t7iF990+JGRAfGqgXbgef+1L/jV3abPU/Zt73mHlT3k7tG1qxy5YXBwusXsTR9Wy7r/vPp566slAYzj9tNNYtmxZoDGIiIhI29HSSUk/4OvaVpiZpkJqIi6xOykdOhEXv2On9L2Fq7j4j+8w5Xf/4rQ/vMaMR+bx1fLNAJx1w+scd+XL/rpZ/PHpzygurajeNreglHcWrGTC8IFR7y8rr5jpM2fXWLZ2Uz7HXvEydzz13xrLTxy1B0++8c0OHVd6565+0hbstMmvvz6b0049heHDDuXIsWO46MILWLxoEQDjx4/j0KFDGD7sUMaOGc2MGddSVFRUvW12djazZs3ipJOmNnlcGzdu5OijjqyxbOXKlQwdMphrrr66xvIzzzqLPz/0YJPHICIiIu1TvUmJma0ws8vN7AszyzOz58wsJWz9+Wa2zMyyzexVM9tmWiMzSzazAiAe+NzMfgir+3dm9gVQaGYJZjbMzD4ys1wz+9zMRoXVM8DM5ppZvpm9ZWYPmNlTTXAe2hSX1J24uDhSOnRq8LYvv/89j/z7c04+ai+euWEy/7huAhMP35VPvlpXXWbmeYfzr9un8MDlR/HD2lyee/u76nVv/3cFQ/buRXJS9GM2Pvt2PYP3qtml6sEXF7NH387blB223858vmwj2VtKGnRcCUkpJKWl4xKDHeD+5D/+wZ133MF55/2cd999jzlv/Idp007mvfffqy5z3/1/4uNPPuW5519gyXff8eijf6te9+qrrzBi5AhSUpo+sZo/fx6HH354jWW33nIL++677zZlR40axWeffcbmzZubPA4RERFpf6L9Kn0aMA4oAT7Ee+L6w2Y2BrgVOBqvBeQu4FngZ+EbO+dKgQwzc8CBzrnwfh+nAhOBzUBPYDZwBvAGMBZ4ycz2cs5tAp4GPvb3d6hf9pWGHXLb5xK7gBlpnbpQlBP9TWNhcTlPzvmay04dwuEH9K5ePmy/nRm237ZT6HbpkMIhe/Zk+drc6mULvl3P0Yf2r35fVlHJKdfOorSsgqREL1EpK68kPj6O639+OAfv2ZPPvvmJMYP7VW/z/qLVZKQmscuATNZtLqyxz6TEeHbv05mF363nqKH9iVZapy4Agc66lZ+fz0MPPcj1N9zI2CO3tkgcMWoUR4watU35bt26Mfyww1iyZEn1sg/nz+f446c0eN9lZWWMHnUExcXFJCcnA1BaWkpCQgL3/+kBhg0bxvx585k4cWL1Nm/MmUNmh0wOHHggq1etrlFfcnIye++zDx999CHHHntcg+MRERERCRdt9637nXPrnHPZwCzgIH/56cBjzrlFfuJxNTDczPo3IIb7nXOrnXPFwHTgdefc6865kHPuLWABMMHMdgGGADOcc6XOuQ/8WCRSXCLEdyA5PZP4hKSoN/t2RRZlFSEO2z+6Z3hsyi1iwXfr2blbRvWyH3/Ko3ePrYPskxLi+eWUgzhw9x786/Yp/Ov2KfTqlsHNvxzJwXv2pKIyxFfLN3PwHj0AKCwp56k3vub84w/Y7n779uzAj+saNq4ktZOXqLmELg3aril98cXnlJWVMWbMmKjKb9iwng/nz6dv377Vy5YtW0a//v0bvO+kpCSuuPJ3DB16KB9/8ikff/Ipffr05c8PP8ywYcMoLy9n0aKFDBs+HICCggIeeughLr/88u3WOXDAQL5f8n2DYxERERGJFG1Lyfqw34uAqrvWnYFFVSuccwVmlgX0BlZEWXf4V7D9gKlmNjlsWSLwnr+vHOdc+FfnK4G+yDZcYhesIo/Ujp0oyNoY1TZbisromJ5EfHzdueoNj32EmVFcWsGBu3dn+vh9qtcVFpeTllzzslrxUx4Ddu4IQElpBT9tLqB/L+/9lz9sYsDOHUlL8R74+OTrX3P0of3p3iltu/tPTU5oUPetxJQ0EpNTIKFjoE9xz83No1OnTiQk1B3DpZf8BjOjqKiIoUOHcsEFF1avy8/PJz09fYf2v2zpUnbffXcAiouKWLNmNbvvvgcAixYtZI899qiu+8EHH2DKlCn07LnTdutLS09j8yZ13xIREZHGa+wd2jq8RAIAM0sHugJrG1CHC/t9NfCkc+78yEJm1g/obGbpYYnJLhHbi88ldcWKfyS1Y5eok5IOaUnkFZZRWRmqMzH5w7mHcfCePfli2SbueOpTthSUkZHqtchkpCVRFDbwHbykZPQhuwBeS0rnDqlkpnnlF3y7niF79wLgh7W5LP5+Iw9cXnOwdaTi0goyUqN/an11163ErlFv0xw6depIbm4uFRUVdSYm99x7H8OGDWPBggVcfdVV5Obm0qFDBwAyMzMpLKzZpe28885l4YIFtdZ10EEH88Tf/w7A0mVLmTBhYvXv3bp1q653/rz5jBgxEoDvvvuOTz/5lOeef77O4ykqLCIzU1NPi4iISOM1dvatZ4BzzOwgM0sGbgE+dc6t2MH6ngImm9kxZhZvZilmNsrM+jjnVuJ15brezJLMbAQwue7q2i+X0BksjqS09Ki7cO3dvyuJCXF89OW6+gsDB+zWnSOH9Odvr35RvWxAr46s3VRQo9yKn/KqW0Z+XJfHgF4dqtd99s16huzjfRv/xbJNbMgp5KwbZnPaH2bx0nvf8+EXa/jVXW/XqG/1hi3VLS/RSO3oDZh3icF13QI44IADSUxM5L333o2q/ODBgzn2uGO5++4/Vi/bY489WLlyZY1yjz76GP/7/ItaX1UJCdRsKfl+yffVv4M3yH3ESC8pWbDgM9atW8u4Y45m7JjR/OPvf+edd97mlJOn1djv8h+Xs8eeezTsJIiIiIjUolFJiXPubWAG8BLwE7ArcEoj6lsNHAdcA2zCazm5IizO0/AGuGcD1wH/CN/efyjjyB3df5sSlwjxGZgZqZ22ncWqNumpiZwxbl8eemkxH325lpKyCioqQ3z27U88GpZ4hDv+iN1Z9P2G6sHuQ/bZiS+Xbapen1tQSl5BKbv09BKR1Ru20Lu79+36+qxCyitC1evGDx/AY78fzwOXH8UDlx/FhMMGMmTvXtz0y60faVl5JUvX5DBoz+gegJiUmk5CUjJYHC6hU1TbNJfMzEwuvPAibr3lFt59912Ki4spLy9n/vx53HPP3bVuc/rp0/nk44+rB7uPGDGShQtrbxWpS3Z2Njk5OQwc6E3V/OOKH9mln9fIuXbNGsrKyqrXnXjiSbw2+3Wee/4Fnnv+BaZOncrIkSN56M8PV9dXWlrKt998w7Bhwxsci4iIiEikertvOef6R7yfGfH+YeBhouCcs7rq9pd9Chyxne2XA9V3qGY2E+gUtj5j263aL5fYGavYQmqHzhRs3hDVNieO3oPOHVJ49s3vuOOp/5KWnMBufTpzylF71Vq+U0YyYwf34+k3v+Xac4YzdnA/LrrrbUrLKklOimfFT3n06pZRPUVw106pvPzeUkYd0pfvV+VUt5IApCQlkJK09ZJMTU4gKTGeThnJ1cs+/fonDti1O107pkZ1PFWtJMRneIlawM486yy6duvG3/76F665+irS09PZe599+PnPt+mxCECXLl2YPHkyf3nkYf549z1MmjyZk6dNpaSkpEHTAi9bupQ+ffpWb9OjRw+e/Mc/mDB+Al9//XV11y2A1NRUUlO3nt/UtDSSkpLp0mVrS9PcuXMZPHgIPXr0aOgpEBEREdmGOdd6h2T4ScluzrnpkesGDRrk5n4wr+WDiiFWup64LYtwzrH+uy+prChrkf0+MftLOmakMOWI3essN+Mv85k8YleG7tMr6rovuecdLjllcHV3sPrstMd+JCSn4FL7EcrY9nkbrdH9999Hly5dmD79jCap76KLLuSUU05l5MjoGxmnn34aM2dez2671/0Zi4iISOvWITNjoXNucHPvR09Rb8OquitVdeGKtrWksc6euH9U5Q7YtTsH7tawb9rvvXRs1GUTU9NISPZaBoIe5N6ULr74N01a3+DBgxkyZEiDtnnqn083aQwiIiLSvrXqpCSyK5lEiE+B+FSoLG5QF66WMnXsns1af1rHrd2NXEL0A+Pbm3POOTfoEERERKSda+zsWxLjXII3piI5PYP4xOgfpNgWbB1Pkuq9RERERCQmKSlp48KnwU3tGOyUuC0pKS3Dm3WLrYmZiIiIiMQmJSVtnEvc2m2p6iGC7UGNrluJnYILRERERETqpaSkrYvPBPOGDiWlppGQ3A66MVnc1q5bEPjzSURERESkbkpK2jqLq9Fakt657cxCtT0pGR2IT/SfSWLxoEHuIiIiIjFNSUl7kBDZhcu2X7YNSAtPvBI6gLXt4xURERFp7ZSUtAPhA73jE5NI6dB2Ww7iE5JIzdx6fOq6JSIiIhL7lJS0Ay6xU43WgowuDXtgYWuS1qUbFrf1sg6ffUxEREREYpOSkvYgLhniUqrfpmR2IDElLcCAmonFkdGle41FemiiiIiISOxTUtJORLYYZHbfKaBImk9Gl25bB7iD/9DElO1vICIiIiIxQUlJOxE5tiKtUxeS0jKCCaYZxMUnkNm9V41lGk8iIiIi0jooKWknauvG1Ll3P7C2cQl07NWnZisJemiiiIiISGvRNu5IpX4JHasfolglMSWVLn0HtPrEJLN7L9I7d9tmuQa5i4iIiLQOCfUXkTbBDJfYESvLqrE4rWNnklLTKSsqCCiwxklITiEptZZB+xbvPc1eRERERGKekpL2JKETRCQlAAlJSSQktbFWhYQOrb4FSERERKS90F1bO9KeujO1p2MVERERae2UlLQjLqFTjYcotmUusXP9hUREREQkJigpaU/iEiG+7UwDvF1muAQlJSIiIiKthZKSdqZddGuKz/QSMBERERFpFZSUtDMusWvQITS7dpF4iYiIiLQhSkramfaRlLT9YxQRERFpS5SUtDdxid50uW2VmZISERERkVZGSUk75JK2ffp5m5HQCeL0+B0RERGR1kRJSTsUSuoedAjNpi0fm4iIiEhbpaSkPUro0mZnp3JJPYIOQUREREQaSElJe2SGS2yDLQrxqW17vIyIiIhIG6WkpJ1yyb2CDqHJuaSeQYcgIiIiIjtASUk75ZK6t7kuXKGU3kGHICIiIiI7QElJe2VxuOSdg46i6SR0gISOQUchIiIiIjtASUk7FkrtD2ZBh9EkQqkDgg5BRERERHaQkpL2LD4dl9wn6CgaLyGzbbX6iIiIiLQzSkrauVD63pCQGXQYOy4ukcrMA9tMi4+IiIhIe6RHX7d3cQlUdjocKnIBF3Q0DWQQnwFxSUEHIiIiIiKNoKREwOIgsUvQUYiIiIhIO6XuWyIiIiIiEiglJSIiIiIiEiglJSIiIiIiEiglJSIiIiIiEiglJSIiIiIiEiglJSIiIiIiEiglJSIiIiIiEiglJSIiIiIiEiglJSIiIiIiEiglJSIiIiIiEiglJSIiIiIiEiglJSIiIiIiEiglJSIiIiIiEiglJSIiIiIiEiglJSIiIiIiEiglJSIiIiIiEiglJSIiIiIiEiglJSIiIiIiEiglJSIiIiIiEiglJSIiIiIiEiglJSIiIiIiEiglJSIiIiIiEiglJSIiIiIiEiglJSIiIiIiEiglJSIiIiIiEiglJSIiIiIiEihzzgUdQ7Mws03AyoDD6AZsDjgGiX26TiRaulYkGrpOJFq6ViQaezrnMpt7JwnNvYOgOOe6Bx2DmS1wzg0OOg6JbbpOJFq6ViQauk4kWrpWJBpmtqAl9qPuWyIiIiIiEiglJSIiIiIiEiglJc3rL0EHIK2CrhOJlq4ViYauE4mWrhWJRotcJ212oLuIiIiIiLQOaikREREREZFAKSlpYma2j5m9Y2ZFZrbOzG4ws/ig45LmYWa7mdkjZvaFmVWa2fu1lDEzu8bMVptZsZl9YGYHRZSZamavmtlaMysws4Vmdmotdb1vZq6WV0rzHaU0VgM+3/PNbKmZlfhlxkasH7Wdz/+2htYlscfMTjKzj8wsy//clpjZtWaWFFYmmr8n2/s74cxs+Hb2fY+//q5mPkxpYmbW2/+74swsI2x5vdeKX+54//+wUjP70cwuq6VMJzN7zMyy/X3NMbPdmvnQpJHM7Ozt/B34ZViZC81stv93x5nZqFrqier/sIhtfuPX92K08bbZKYGDYGadgbeBb4DjgF2BP+Ilf9cGGJo0n32BCcAnQOJ2ylwFzACuAL4DLgPeNrP9nHPr/TKXAT8Cl+LNGT8BeNrMujnn/hRR33vANRHLSht7INKs6v18/T/wDwMzgfnAOcBrZjbEOfdVRH2nA8vD3q8NX9nAuiR2dAXeBe4EcoGheJ/hTsCv/DLR/D25EOgQUfcNwMHAZ5E7NbN9gPOALU13KNKC7gQKgPSI5fVeK2Z2OPAy8BhwOXAocLuZhZxz94bV9RywH/AbIA/vnuYdM9vfOafrJvaNAYrD3of//3Em4ID/ANtLNBpyj4KZ9cD727WpQVE65/RqohdwNZADdAhbdiVQFL5Mr7bzAuLCfn8ReD9ifQreH/A/hC1L9/+h3hS2rFstdT8N/Bix7H3gxaCPW68GXyf1fr7AEuCxsPdxwJfAU2HLRuH957FfPfurty69WscLuBkvQbFo/57UUkcSkA38eTvr3wFuBFYAdwV9zHo16Pr4mf/ZXu7/bcjwl0f7f89/gHkRdf7RrzPJfz/cr3tsWJme/r3N5UGfA73qvD7ODr8utlMmzv+5n192VC1lorpHCVv3KPBkQ+9Z1H2raY0H/uNqfmvwLJAKHBFMSNKcnHOheoochveN5fNh2xQCs/Cul6pltT1RdzGwcxOEKQGr7/M1s4HAHtS8TkLAC4RdJ9FoyrokJmThJRUQ5d+TWowDOgPPRK4ws5OAvYBtugBKbDOva/if8FrBIv/GRHutHAS8FbHtm3jXy/CwMuV4N5hVdW0APgcmNuogJHBR3Mc06B7FzIYC0/Ba6hpESUnT2guvibSac24V3rcJewUSkQRtL6ASWBqx/FvqvyaGA9/Xsvxo88YsFZnZf8zsgCaIU1pe+OdbdS18F1HmW6CLmXWPWP6ueWOYVvhjDsLHrTW0LokxZhZvZmlmNgK4GK+Fw7Hjf09OAdYA8yL2k4r3rfhV/g2rtC6/BJKBB2tZF+21kgKURZSper93WJlK51xlLeX2RlqDH8yswh+n9osmqnObexQzM7xE+Q7n3Npat6qDxpQ0rc54zeyRcvx10v50Bgpq+WOeA6SZWZJzLvI/BPxByccD50asmgv8HVgG9AN+D8wzswOdcyuaOHZpJrV8vlV/H3IjiuaErd+E1x3jNrybyzJgEnA90B2vr3dD6pLYVYh3swnwD7wxAbADf0/MLA04FnjET2zCXQ38BDzVlMFL8zOzrnhd7qY758q9e8Eaor1WlgFDIsoM9X928X8uA1L88SNf+vtPxevuk9kkByTN5Se8cUX/BeLxvqB42MzSnHP37GilddyjnIPXtW+HJsxQUiISY8ysP15fzVecc0+Er3POXRf2dp6ZvY33jfgl/ktiXF2fb32cc4vxmsyrvG1mpcBlZnbjdprYpfU5DEjDuzn8A/AA3uD1HTEZbyxBja5bZjYAbxzC6FqSFYl9NwOfOOdeb2Q9D+PdpJ6PNy5yKN6gZoCqbj3/wRvk/IiZnYM3IcJtQEegopH7l2bknPsP3udXZY55s3Vea2b3RdN1K9L2/g8zs47ArcCvnXPFtW9dN3Xfalo5eP9II3Vm67eU0r7kABm27bTQnYGiWr7V7ALMAVbizbBUJ+fNoPIhMKhpwpXmVMfnW/X3IfLvR+eI9bV5Ee8LpgMiyu5IXRIDnHOLnHPznXN343XfusDMdqWBf098pwDLnHMLIpbfhnctLvGne+2Ed0+Q7L/f5qt3iQ1mti/eN9Q3hH12af7qjn4rRrTXymPAn/1XNt5MXDf669YD+GVPwfsG/DtgHTAQrxVvPdLavIjXCta/oRvWc49yDbAKeDPsukwAEv339T4eQ0lJ0/qOiH69ZtYX749FZP9uaR++w2syjZzPfZvxR343i9fwBrVOcs4VRbkP578khtXz+VZdC5HjAvYCsp1zdXW3chE/G1OXxJ5F/s8BNODvCVR/czmeWga4A3sCJ+DdvFa9+uJNPZwD9G6C2KV57I43Bf3HbP3sqsaVrMHr0x/VteKcq3TO/QqvC+gBeInHJ/7qT8LK/devay9gN+fcSKBHeBlpNSL/z4hKFPcoewKDqfk35XC87qM5bJ04YbuUlDStOcAxZhbex/JkvLmh5wYTkgTsI7ym7qlVC/x/2JPxrpeqZQl4syPtDoxzzm2MpnIz2wkYASxswpilidX3+TrnluMNGAy/TuL893Oo20l4XSi+aIK6JPYc7v/8kSj/noSZgjc2pbak5OfA6IjXBrzZmkajcUexbD7bfna3++sm4D23pEHXinMuxzn3pXOuAK+r4EfOuciJe5xzbolz7gcz2x04Em/qV2ldTsKbrW1ltBtEeY9yLdtel58DH/i/f1nffjSmpGk9jNfU/rKZ3Y7XvDkTuNvp4UJtkv9HfoL/tjfQwZ9iE+B151yReU/bnmFmOWx9gFUc3rdZVR7y6/kN0NUfxFhlsXOu1J9l61a8PwwrgV3wBqqGgHub4/ikydT7+eL9rXjKzFbgdck7C+8/gNOqCprZn/FuFj/DG+g+Ae+b7Xudc1lhddZbl8QeM3sD7wG8X+PNnHQ48FvgOefcD36ZaP6eVDkF+Nw5923kilq6c2FmJcBq59z7TXJA0iz8sWPvhy/z+/mD98yRAn9ZvdeKmQ3D+2Lrf3hTCJ8KHOMvC69/hl/HZmB/vMHTzzrnIqcTlhhiZi/hDXL/Aq/l7GT/dXHVeBIzG4zXlauvv9kRZtYNWBH2d6Le/8NcLQ/mNbNcYHPUf1OifaCJXlE/qGYfvCfyFuPNenAjEB90XHo12+fdn63dpyJf/f0yhjdL1hr/upgHHBxRz4oo6ukNvO5fV2V4zy94Cdgr6POgV73XSb2fr1/ufLyZbkrxuu2MjajnYrz/XPL9Ml/jTXBgteyzzrr0ir2X///FV3hP5871P7dfA4lhZer9e+KX64b3bImrGrD/Fejhia3yRS0PyYvy/55D8L7kKMBrWZkN7F9L/fcCa/2/J8uA3wEJQR+3XvVeF7fgPUy3yL8GFgJnRJR5Yjv/Nz0RViaq/8Nq2f/7NODhieZvJCIiIiIiEgiNKRERERERkUApKRERERERkUApKRERERERkUApKRERERERkUApKRERERERkUApKRERERERkUApKRERaQAzO9vMFppZvpnlmNliM7u7ifcx1MxmNmWdsczMZprZ5iaoZw+/rk4Ry882M2dmGY3dR2OZ2atmdl09ZSb58fb33/fwj6t/RLnBZpZtZh2bL2IRkZahpEREJEpmdjXwN+A/wAnAmcArwLFNvKuhQJ03rlKrPfDOW6eI5bOB4XgPEAuMmR0KjKH2p6/XpQfecfUPX+i8py0vBi5tivhERIKUEHQAIiKtyK+AR5xz14Qtm2Vm1wcVkNTPObcJ2BR0HMDFwCvOuewmrPNx4C4zu8k5V9GE9YqItCi1lIiIRK8TsD5yoXPOVf1uZv81syciy5jZE2a22P890czuMrNVZlZqZuvM7F9mlmRmZ+N/k+534XFm9n5YPfuZ2Wy/+1i+mb1gZjuFrR/lbzPWzF4xs0IzW2pmR5tZvJndaWabzWytmV0WzUGb2flm9qWZlZjZBjN70cw6mtkEMwuZ2YCI8gP85ceFLZvin5tiM8sys9fNrF8d++xiZn/x91diZh/5LQ3bKz8KmOW//dE/Byv8dTW6b5lZf//9KWb2uJltMbM1ZjbdX3+l/5lsMrPbzSwuYl91fgbbiS8TmAK8GLHc/K5ZG/26/gF0CFvfH/jSf/te1TURVsWrQBfgmLr2LyIS65SUiIhEbxHwazM7y8y6bqfMo8BJ4eMX/N9PAh7zF10NnA7MAI4CLgHygHi8rkZ/9MsN918X+vXsBnwIpADTgbOBffFaaywijkeA+Xg3wivxboYfADKB0/z3f6zrRt/f57V+XXOB44EL/Fgz8LqxrQPOitjsbGCjfyyY2RnAy8APwDTgHOB7oPt29pkMvA0cCVzh73cT8HYdN/+LgMv930/AO29T6jo24HbgJ+BEYB7wdzP7I173uXOBe4Er/ZirYmvIZxDuMCAV+Chi+cXAH4C/4F0jxcAdYet/wrtWAC5i6zUBgHNuC/A13rkSEWm9nHN66aWXXnpF8QIOAJYDDgjh3QzeAHQIK9MBKATOCVt2LlAKdPXfvwb8sY79/Aq/ASZi+ZPAEiApbNnuQCUw0X8/yo/vurAy+/jL3g1bFofX6nN7HXF0whuHcXcdZW4CfgTMf2/ACuCusP2sBV6uo46ZwOaw9+cBZcDuYcsS8JKaO+uoZ5J/nP0jlp/tL8/w3/f33z8e8bmVA0uB+LDl/wWea8hnsJ3YrgE2RSyLx0vq/hyx/K3w4wD289+P2k7dTwAfBv3vQy+99NKrMS+1lIiIRMk59wWwN97A9ofwbsBnAAuqWkac9831i3g3wlXOBl51zmX57/8HnO13Ezqgnm/Ywx0J/AsImVmCmSXgJQQrgMERZd8J+32Z//PdsGMJ4SVYvevY33C8b/cfr6PMY0A/vGQIYLT/vmqbPYGd66kj0pHAQrxuWFXHCV5rTeRxNkb1OfI/t03AXOdcZViZZdQ8Rw35DMLtBETOMNYX6IU3WUK4lxtwDPj1/n97dxMaVxmFcfz/gNpCEUXbggoiEbEWXUj92nShiCAuxCguDVJFF4UglroT06oFLVilLqJNsIE22fiNWoRqbFExVkSqYKwotog1ixAVQxrR4+LcMZebTDJJJ50Enx+U6dx55507c7O45573nDvr8jEzs6XOQYmZ2TxExKmIeDsiNkfEeuAB8kr5ptKwHmCjpDZJlwMbmVq6BZldeJFclvUVcEJSZwMfvxp4jLyiX/7XRp7glo2V9nmyuq0wSS5Dqqe2RO2XegMi4gdgkFySRfE4FBHfNDrHDFYDNzH9e97P9O95OsYqzyfrbCv/RvM5BmUryWxZWS2QGKlsrz6fyylmP45mZkueu2+ZmZ2GiOiR9AywrrTtkKRjZIZE5BKd90uvT5B1BI9LugJ4GNglaTgiDszycaPkVfo9M7x22vf5mEEts3PRHPPvAV5WtkxuBx6tM0ejRoEjZP1KVfXE/kxb6DEYZXqr4lrThLWV7dXnczm/mN/MbNlyUGJm1iBJayNipLJtDXAe8GtleC9FgTrQV1kS9J+IOCZpC1nEvB44QF6dR9LKIoCpOUgWVX8RETFtsub7lCy87mCqiHwmr5GZnwEyAz9Qem2YrCnpYKo71lwOArcBx6u/9xxqGaHFzBos9BgMAxdLWhERtcDqBBmY3Eke95r2ynvn+l6XkY0DzMyWLQclZmaNOyrpTTLrMULWTmwhi8H3VsbuJZdpnUWlnkLS62TNxJfkSf89xbhDxZBvi8dOSR8Av0fEMFkQPgS8I6mXvDJ/CdnB65WIGGzWFwWIiDFJ24GnJJ0DvAusAO4AuiLi52LchKR9ZGDVHxFjpTn+kbQV2FeM6SeLtm8pxh6Z4aP7yOzRoKSdZO3LhWRXrJMR8VydXR4uHh+SNACMR8TROmMX6gkWdgw+Bs4GriGzQETE30WWbafyjvaHyU5gV1Xee5wiOJT0G/BX5Xe7juwkZma2bLmmxMyscdvIq9IvkIHJdrID1w0R8WN5YEScBD4juyJVr2J/Qra53U8WOW8A7i6daB4GngU6izm6izm/I2stxskWsu8BXeSSpu9ZBBGxg1xGdWuxr93kcqE/KkPfKB57K9uJiP3kyfY6sglAX/H/GW9oWGSHbia7UHWRv/XzZO3O0Cz7+hMZJLaTQUCjmZmGLfQYFO/7Gri98tIu4GkyCHuVbLW8tfLeCeBB8u/kI+Dz2muSriVbK8+3ON7MbEnRmVkBYGb2/yLpAnLZ0uaI6Gn1/iy24or/vUBb0dnLKiQ9AmyKiKubOOcO4PqI8H1KzGxZc6bEzKyJJJ1b3JBwN5lN6G/xLi0qSVdKuovMpux2QDKrl4A1kpoSQEhaRWZQnmzGfGZmreSaEjOz5toAfEjeRf2+iBhv8f4stm7gRuAtclmb1RERf0rqAFY1acpLgW3NriUyM2sFL98yMzMzM7OW8vItMzMzMzNrKQclZmZmZmbWUg5KzMzMzMyspRyUmJmZmZlZSzkoMTMzMzOzlnJQYmZmZmZmLfUvrcPrB5xzon8AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 936x715.145 with 1 Axes>"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "schedule.draw()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "That covers the basics! We used the transpiler to rewrite the circuit in terms of the basis gates, and then used the backend's default calibrations to schedule the transpiled circuit. Next we will go through scheduling with calibrations we will build ourselves.\n",
    "\n",
    "## Scheduling with custom gate definitions\n",
    "\n",
    "If your input circuit has calibrations defined, it will use those calibrations when scheduling your circuit."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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ISKJRUiIiIiIiIoFSUiIiIiIiIoFSUhIH1CVLRERERNozJSVtUGQSM/Xaa3nggQcCi2X06IP49ttvAtu/iIiIiLR9SkoCMnny0dx44w2bLX//3WlMOGgA0195hrH79tjsNWL3TB596GYA1q9bx3/+82/OOeecevdXX2tM9PrVq1ez8047UlZWxoUXXMBuu+5C3z5bccD+I3jzzTery1188cXcdOONDTnkdmHGnF+atV5ERESkPVJSEpBTTjmF5597jq+W1fwVzJz2bw6feCITjjqNd+etr/H6419up1v33hx13NkA/Otf/+Kwww4nMzMz5vG9+cYbHHLIoVRWVtJv6368PmMmv6xcxdVTruGsM89g+fLlABxxxATenzOHX3/9NeYxiIiIiEj7oKQkIBMnTiInJ4fPFnxQvWxjfi4fzJ7B+EmnblZ+8befcfetl3HD7U/Ro2cfvl6ezFtvvckBI0c2et/l5WUcvF8vDhicVd0Cc8DgLHr26M57770HwJtvvsFhhx1GVlYWV131V/r3709SUhLjx4+nf//+fPbZIgAyMjLYe6+9ePvtt5t4JkRERESkvVNSEpDMzEwmTz6GGa/+q3rZO2+8RP/tdmKHnQfXKFuwMY+/XnIKZ//uCoYMO7B6+ddff80OO+zQ6H2npaVzyRV3MHS/MdWtMP22Gcj//vcKY8aMoaKigg8++IAxY8dutu3atb+ydOlSdtl5l+plO+60E199+WWj4xARERERASUlgTrllFN4763/UlZWCsCMV//F+KNqtpI457j+qt8wcIfdOO2cP9dYl5+fT3bHjk3a9w9LvmLQjrsBUFJcxMoVP7Lrbt7nDz6Yyx577EF2dnaNbSoqKvjNuedyyimnsONOO1Uvz+7Ykfz8/CbFISIiIiKipCRAnfqNonOX7rz/zqv88vOPfPPVfA4/4sQaZZ5+9A5+WvoNU276P8ysxrrsTl0pKCysseyI8ePolN1xs9eI3TP57embWj5++P5rBu2wu/d+yVd077kVXbt2BeDNN97ksMMOr1FvOBzmvPN+Q2paGnf8/c4a6woKC+ncuXPzToaIiIiItFspQQfQ3o0/8lRmTPs3Py9bwn77H0q3Hr2r1y389H2e/MdtPPjkW2R36rLZtoN23J2lS5eyzz77VC97fcbMWvcTPbvWD0u+ZtAOXsvIksVfVico4I0n+de//l392TnHhRdcwLq1a3nxpZdJTU2tUdf3ixdzwoknNfygRUREREQiqKUkYEcceSrzPnqXV156jCMium6tX7eaKZedwR/+cjs77bJXrdvuP+pwPpg7p9H7zM1ZR17uOgYM8saFLP9pMdv23x6AZcuWUV5ezk4771xd/pI//oHFixfz3PMvbDbTV2lpKYs++4yxtYw/ERERERFpCCUlAalquejTrz977DWc0pJiRo2ZWL3+lRcfJ2fDr9z9t0s3e1bJrdf9HvBaWabPeJOSkpJG7fuHJV/Tb5uBZGR4CUbPXn15542XmTdvHm+8MZNDDzusuuzPP//MY489xpdffsEO2w+iz1a96bNVb5577jkAZsx4nVEjR9KnT59mnQ8RERERab/MORd0DC1iyJAhbvb7jW9FaC31PcywoR66+xp22b4HF154YbP3t1v/EMceewz/7//9lsMPP7ze8gBjxozmgQceYNddd2tQ+UTXkIcjjh+1dStEIiIiItJ8nbI7LnDODW3p/WhMSRt3/h+vZ7f+oTrLNCYBGjVyFAceeGD9BX3vvTerwWUTnZ7WLiIiItI06r4VgFi1ksS6vq+XJ/PHSy5pkSfEyyZKXkRERERqUlIiIiIiIiKBUlLSymLdSiIiIiIi0tbFzZgSM5sKXOt/dEA+sBR4E7jPObcmoqwBVwLnAz2AecDFzrnPWjHkuPL18uQ6x5b856l7+d8Lj262/KrrHmTPIQe0ZGgiIiIiInWKm6TElw+M8993BobgJR7/z8zGOecW+OuuAKYAlwHfAX8C3jaz3SOTl3gTZCvJOzNf5Oefvt9seXFxUQDRiIiIiIhsEm9JSaVz7uOIz2+Y2UPA+8CzZrYzkIqXlNzinLsfwMw+ApYBFwFXt27I8ePr5cnkrphFnz59GTRo0BbLnXfRNZzzuytbLzARERERkTrE/ZgS51wecDmwPXAosD/QCXg+okwRMA0YH0CIDdIarSQb83M55ZTTOeP002pd373HVuy+537884EbWPDp7BaPR0RERESkIeI+KfHNAiqB4cDOQAhYElXmW39du/XSs4+Ql7ueK67Y1AoSmQylpqVx813/Jj0jk8ceujmIEBOWpvkVERERabo2kZQ450qB9UBvoCtQ6JyLHtWdC3Qws7TWjq8+rTWW5KM5b9Cte2+2G3z0Fsv07NWXAw4cz+cLP6C0tGSz9ZodrHUoiRERERHZJN7GlNTFgg6gsVr7Bn/dryvpu/UAzGyz2bjOPO9yyvwkpN82AwmFQuRuWMvS1Zvy0lFDt2nVeBPR8rWbzmf/XuEAIxERERFpO8w5F3QMQPWUwBc553rUsi4DKABuAtYC9wLpka0lZnYZMNU5l+V/jo8DixcdB296X/hFcHG0U9vuNrH6/c9fvxZgJCIiIiKNssA5N7Sld9JWWkrG4MX6EVABJOMNfF8cUWZnvOmBAdh7772Z/f6c1owxcBecfz7PPPM0H3z4EXvssUetZUpKSthj993IzMzky6++buUIRURERKQt6ZTdsVX2E/djSsysC3Ar3oMU3wY+BDYCx0eU6QBMAmYEEGLcOPuccwC44PzfkZubu9l65xyXXXopa9eu5ayzzm7t8EREREREahVvSUmKmQ33X4ea2RXA50Af4CTnXMgf9P434Cozu9DMDgZewDuW+4ILPXj77rsv519wAZ9//jkjhu/Hyy+/RH5+PiUlJXzy8cccc8xknnrqSYbssw8XXnRR0OGKiIiIiADx132rM14XLYfXGrIUeAa4L+pJ7X/DS0KuBLoD84FDnXO/tm648eeWW/5GkiXx4IMPcNaZZ262/qCDDuKJJ58iIyMjgOhERERERDYXNwPdY23IkCGuvY0pibRgwQKeevIJvvjySyrKyxk4cCDHHnccRx11dNChiYiIiEgb0Sm7owa6S9Pts88+7LPPPkGHISIiIiJSr3gbUyIiIiIiIu2MkhIREREREQmUkhIREREREQmUkhIREREREQlUqyYlZjbZzFaYWaGZ7d2a+xYRERERkfjU2i0ldwAXOec6OucWtfK+25RXXnml1ueMNMa999zDM888HaOIPKeecgpLly6NaZ2JqjHnX+dVRERE2rPWTkr6A1/XtsLMND1xI1x15ZVcM2VKjWXz58/noANHsW7dOnJycpg2bRrHHXd8TPd7xpln8tCDD8S0zramuLiY8ePHMX369OplRUVFjDv8MN56602ARp9/nVcRERFpz+pNSsxsmZldamZfmFm+mT1nZhkR688zs6VmlmNmr5pZ31rqSDezQiAZ+NzMfoio+y9m9gVQZGYpZjbczD40szwz+9zMRkfUs52ZzTazAjN7y8zuN7NnYnAeYmLNmjX86ZJLGDP6IA46cBS33HwzDz30IFddeWV1mZUrV7LXnoOprKwEvBaRCUeMZ/8RwznCv9H98ccfuenGG/jii88ZMXw/Ro48AICCggKu/utVjBl9EAsWzOett97iww8/AODFF1/kggvOZ5ddd2Xy5KM5+qgj2WXXXXjjjTc4/LBDGTP6IF599ZVmH+Po0aOZN28e69evb3ZdbVWHDh2YcvUU7rj9NnJycgC4+6472XXX3Tj00MMAePXVVxg5aiQZGRl1VVVN51VERETas4a2lJwAjAO2AwYDZwGY2VjgFn99H2A58Gz0xs65MudcR//jns65QRGrTwYmAF2A3sB04EagG3Ap8JKZ9fTL/htYAPQAbgCa178phkKhEBf//iL69O3D66/P4M233mbcuHF1blNSXMxtt/6NBx58kA8/+pgnn3qanXbaiYEDB/LXq6cwePCefPTxJ8yd6yUet/7tFgoLC3lt+us89vgTZGV14Korr6SkuJhZs96jvKyMcePGM3v2+2RlZfH5Z5/x9ddfMe216dx08y387ZZbKC4urjOm8vJyDth/BEP23osRw/djxPD9GLL3Xgzbdygff/wx6enp7LLrrtXJUHu1/wEHMHLUKG679W/MmzePN998k6v++tfq9R/MncvQfbyHn9Z3TgGdVxEREWnXGpqU3OucW+WcywGmAXv5y08FHnPOLXTOlQFXAiPMbEAjYrjXObfCOVcCnAa87px73TkXds69BcwHjjCzbYF9gSl+kvO+H0tc+Oqrr1i3bh2XXPInMjt0ID09nb2HDKl3O0tKYunSpZSWltKzZ0+23377WsuFQiFmzpzJ7y/+A1lZWfTr14/f/e58AK644i8smD+fPn37cvTRR5OcnExhURH5+fn89re/Iy0tjf3335/U1FR+/vnnOuNJS0vjssv/wrBh+/HRx5/w0cefsPXW2/DQww8zfPhwAAZuN5DvF3/fyDOUeC677HLmz5/PZZf+mUv+9Gd69OhRvW7p0qX0HzAAaNg5BZ1XERERab8ampSsiXhfDFS1evTFax0BwDlXCGwA+jUihhUR7/sDx/tdt/LMLA8YidcK0xfIdc4VRZRfTpxYs2YNffr0ISWl4UNjMjt04LZbb+OFF17gkEMO5qKLLuSnn36qtWxeXh6VlZX07dOnelmfvn3okJXFp59+ykGjx9C7V+/qdcVF3mnq3r179bL09HRK6mkpAVi6ZAk77LAD4LXm/PLLCnbYYcfq9R2yOlBQUNDg40xUnTp1YtCgQZSWlnLwwQfXWFdQUEBWVlb15/rOKei8ioiISPvV3IHuq/ASCQDMLAvoDqxsRB0u4v0K4GnnXJeIV5Zz7m/AaqCrv48q2zYj9pjaaqutWL16dfVYkSqZmZmUlpZWf96woeaYgf0POIBHHvkHb7/9DtsN2I7rr5sKgFnN+rt06UJKSgqrVq+uXrZ6tZcIdenalV69etUo37FjR6Ll5uZy9tlnsdeegzd7Rc70tWTpErb3b6CXLF1Cjx496NSpU/X64qJisrOzG3BWEtv0115j1apV7Lffftxz99011mVnZ1NUtCl/ru+cgs6riIiItF/NTUr+A5xtZnuZWTpwM/CJc25ZE+t7BphkZoebWbKZZZjZaDPb2jm3HK8r13VmlmZmI4FJzYw/ZnbffXd69uzJvffcTUlxMWVlZSxatIiddtqZhQsXsHr1agoKCnjs0Uert9mwYQPvvfceJcXFpKWlkdkhk6Qk71fSvXt3fl37KxUVFQAkJydz2GGHc/9991FUVMSqVat45umnmDBhQq3xDPC7DkXq2rUrjz/+BJ99/sVmryeefLK6XOS3+t8v/r76fZUff/qRHXeq+S1/e5OzYQN33HE711xzLVdPuYY333yDhQsXVK/fcccdWb58U0NefecUdF5FRESk/WpWUuKcexuYAryE15IxCDipGfWtAI4CrgLW4bWcXBYR5ynAfkAOcC3wVOT2/kMZRzV1/82RnJzMPffex88rVjBu3OEcftihvPnGG4wYMYLDDj+c448/jlNOPolRBx5YvU04HOaZp5/i0EMP4cADR7FgwQKu+uvVAAwbth+DBg3i4LFjGH2Qt80VV15JZmYmEyccwdlnncn48Udw9NGTa41nn6FDm3QcOTk55ObmMnDgQAB+WvYT2/avbgyjrKyMb7/5huHDRzSp/kRxy99uYfSYMew7bBg9e/bkj5dcwvXXXUd5eTkAI0eOYsGC+UD95xR0XkVERKR9M+dc/aXilJlNBbZ3zp0WvW7IkCFu9vtzWj+oAIwfP45rr51aY9B0bm4uJ55wPK9Oe63B09ICfPrJJ9x44428Os2bQ+DJJ5/g6aee4q677maPwYN58803mTljBnfedVfMj6OtePfdd7nl5pt46eX/1uiCdd5vzmXwnnvy+99fXOP8f/H553WeU0DnVUREROJSp+yOC5xzTfu2uxGUlCSwe++9h27dunHaaafHrM7TTj2FqVOvqx4fIVvWmPOv8yoiIiLxSElJAygpERERERFpOa2VlDR8/to45JybGnQMIiIiIiLSPM2dfUtERERERKRZlJSIiIiIiEiglJSIiIiIiEiglJSIiIiIiEiglJSIiIiIiEiglJSIiIiIiEiglJSIiIiIiEiglJSIiIiIiEiglJSIiIiIiEig2vQT3UVEGiO0toDQyvygwxCJbwYp/buR1LVD0JGISDuipERE2oVwfgmV360FXNChiMS9iq/XkLbP1lhmWtChiEg7oe5bIpLwnHNU/rgBJSQiDRQO+38zIiKtQ0mJiCQ8l1+KKygNOgyRNiW8oYhwcXnQYYhIO6GkREQSXmj1xqBDEGmTwmv0tyMirUNJiYgkNFcZJryhKOgwRNqk8NpCnFO3RxFpeUpKRCShhXOLIRwOOgyRNsmVV+I2quujiLQ8JSUiktDUSiLSPOGc4qBDEJF2QEmJiCQs55xuqESaSYm9iLQGJSUikrBcYRlUhoIOQ6RNc8XluLLKoMMQkQSnpEREElY4tyToEEQSQjhXLY4i0rKUlIhIwnL5SkpEYiGsvyURaWFKSkQkIbmwI5yvWYNEYsHlKSkRkZalpEREEpIrKNVUwCIx4soqcSUVQYchIglMSYmIJKSwnq0gElP6mxKRlqSkREQSklPXLZGYchvVhUtEWo6SEhFJOM45fasrEmPhjWVBhyAiCUxJiYgkHFdSoeeTiMSYKyrDVejvSkRahpISEUk4Tq0kIi3CFaq1RERahpISEUk4rkBJiUhLULdIEWkpSkpEJOGo77tIy1ArpIi0FCUlIpJQXGUYV6SkRKQlhAvKcM4FHYaIJCAlJSKSUNTnXaQFVYagVA9RFJHYU1IiIgklrPEkIi0qXKDEX0RiT0mJiCQU9XkXaVn6GxORlqCkREQSirpvibQstZSISEtQUiIiCcOVVeLKKoMOQyShucIyXCgcdBgikmCUlIhIwtAzFERagXO4ovKgoxCRBKOkREQShrpuibQOPaBURGJNSYmIJAwNwBVpHXpAqYjEmpISEUkILuwIq6VEpFWopUREYk1JiYgkBFdSARp8K9IqXGkFriIUdBgikkCUlIhIQnD5JUGHINKuhPU3JyIxpKRERBKCnuQu0rqcnlciIjGkpEREEoLTwFuRVqVxJSISS0pKRKTNcxUhXImemyDSmsIby3BhF3QYIpIglJSISJunvu0iAQiH9RBFEYkZJSUi0uapb7tIMNxGfSEgIrGhpERE2jy1lIgEI6wHlopIjCgpEZE2zYXCaikRCYjLV1IiIrGhpERE2jS3sRScBtuKBMGVV2qSCRGJCSUlItKmhfVNrUigwnnqPikizaekRETatHBecdAhiLRr4Tx9MSAizaekRETaLI0nEQmevhgQkVhQUiIibZbLL9F4EpGgVYQIF+rLARFpHiUlItJmhXPVl10kHoRz1VoiIs2jpERE2qzwhqKgQxARwCkpEZFmUlIiIm2SKynHlVYEHYaI4M2C5ypCQYchIm2YkhIRaZPCG/TNrEjccE5TA4tIs8RFUmJmU83MmdmSLaxf4q+fGrFsVzN7x8yKzWyVmV1vZsmtFrSIBCq0vjDoEEQkQni9ulOKSNPFRVLiKwW2M7OhkQvNbF9ggL++allX4G3AAUcB1wN/Bq5rrWBFJDiurBK3UbP9iMSTcE4RLhQOOgwRaaNSgg4gQhGwEDgJmB+x/CTgXWCfiGW/AzKBY5xzG4G3zKwTMNXMbvOXiUiCCq8rxPtOomGcc1SUllJZXo4L66ZJpD6WlERKejqp6emYWcM2CoUJ5xST3LNjywYnIgkpnpISgGfxEovLnHPOvH8JTwCuoWZSMh54Iyr5eBa4FTgImNZaAYtI6wutLai3TEVZGUU5ORTl5VFWWEBYyYhIoyUlJ5PRMZusrl3J6taVlNS0OsuH1xYoKRGRJom3pORl4CFgJDAHGAX09JffHlFuZ7zWk2rOuZ/NrNhfp6REJEGFC8twW3hQWzgUoig3h41r11FSoAZTkeYKh0IU5+dRnJ/H+uXLyOzUmU69epHVpQuWtHkP8PCGYlx5JZYWb7cXIhLv4upfDedcnpnNxOuyNcf/OdM5lx/VfNwVyKulilx/nYgkqPDq/BqfnXOUFhZSsG4dhTkbCIc0LalIS3DOVScoySmpZPfoQcfu3cnoGNky4gitKSBlW/1XLCKNE1dJie9Z4G4z+xNwHHBxwPGISJxwFSFCvxYSqqykZONGSjbmU5SbS2V5edChibQrocoK8tasJm/NalLT08nq2o0OXTqT0TEbW5WP27oLltTAsSgiIsRnUvIq8E/gJiCL2rti5QKda1ne1V/HokWL6JStfq0iiSSNZLonZZKKbnZE4lUFjnXhYirROC4Rabi4S0qcc0Vm9hpwCfCCc662ic+/wxs7Us3MtgE6+OvYe++9mf3+nJYOV0REREQkYbXWl/xxl5T4HgLSgYe3sH4GcJmZZTvnqqbhOREoAWa3QnwiIiIiIhIjcZmUOOdmAbPqKPIw3liTl83sVmAgMBW4U88oERERERFpW+IyKamPcy7XzA4G7scbc5IH3IWXmIiIiIiISBsSF0mJc24q9SQUzrkeUZ+/Aca2XFQiIiIiItIaNn/ykYiIiIiISCtSUiIiIiIiIoFSUiIiIiIiIoFSUiIiIiIiIoFq1aTEzCab2QozKzSzvVtz3yIiIiIC8+bN47BDDwk6DJEaWnv2rTuAi5xzr7TyfkVEREQSxvjx48jZsIHk5GSSkpMZOHAgkyZO4tjjjiMpSR1hpO1p7au2P/B1bSvMLC6mJxYRkYYbP34cQ/cZQm5ubo3lJ55wAnvtOZiVK1fGbF/5+flc8sc/Mny/YYwfdzivvz49ZnWLtEX33HsfH370MTNmzOScc87h8ccfY+q11wYdlkiT1JuUmNkyM7vUzL4ws3wze87MMiLWn2dmS80sx8xeNbO+tdSRbmaFQDLwuZn9EFH3X8zsC6DIzFLMbLiZfWhmeWb2uZmNjqhnOzObbWYFZvaWmd1vZs/E4DyIiEgT9evXj5kzZlR/XrLke0pLS2K+n1tuvonU1FTefW8WN998CzffdBNLly6N+X5E2prs7GxGjx7DrbfdzrRpr7J0yRLKy8u58+93MO7wwxg7ZjQ33nADpaWltW7/2KOPMnHCEew/YjjHTD6ad995B4CKigoOHDWSJUu+ry6bs2EDw/cbRk5OTmscmrQjDW0pOQEYB2wHDAbOAjCzscAt/vo+wHLg2eiNnXNlzrmO/sc9nXODIlafDEwAugC9genAjUA34FLgJTPr6Zf9N7AA6AHcAJzZwPhFRKSFTJw4iWmvTav+PO3VV5k4aVK9202ZcjU33XQjF15wPiOG78eZZ57B+vXrue22Wxk18gCOPupIvvv2WwBKiot5++23ufDCC+nQoQN7DxnCQQeNZvprr7XYcYm0NXvssQe9e/dm4aKF3HPP3Sxfvpznnn+Baa9NZ+3aX/nHI4/Uut3W22zDY48/wdwPPuS3v/0dV111JevWrSM1NZXDx41j+mubWiVnzJzBsGHD6NatW2sdlrQTDU1K7nXOrXLO5QDTgL385acCjznnFjrnyoArgRFmNqARMdzrnFvhnCsBTgNed8697pwLO+feAuYDR5jZtsC+wBQ/yXnfj0VERAK0x+DBFBUW8uOPPxIKhZg5cyYTJkxs0LZvvfkmF170e2bNfp+01FTOOP00dtllF2bNfp9DDj2UO+64A4Dly5eTkpJC/wEDqrfdcacd+eEHtZSIROrZsyf5+fm89OKLXHrZ5XTu3JmsrCzO/c15zJw5o9ZtDjvsMHr16kVSUhKHjxvHtv3789VXXwFw5KQjmTlzBs45AKa/9hoTJtb/pYNIYzV0HMeaiPfFQFUXrb7AwqoVzrlCM9sA9AOWNbDuFRHv+wPHm1nk1Z4KvOfvK9c5VxSxbjmwTQP3IyIiLWTixEm8Nm0a+wzdh+0GDqRXr14N2m7M2LHsuuuuAIwdezDPP/8ckyYdCcDhhx/Os896je/FJcVkZWXV2LZjx44UFRfH8ChE2r61a9cSCoUoLS3l5JNP2rTCOUKhUK3bTJv2Kk8//TSrVq0CvJbJPH+c2B6DB5ORkcH8efPo0bMnP69YwejRo1v6MKQdau7g8lV4iQQAZpYFdAcaM7LRRbxfATztnDsvupCZ9Qe6mllWRGKybdT2IiISgAkTJ3LuOWezcuVKJjXiW9Tu3btXv0/PSKdb5Of0DEr8pKNDZgeKiopqbFtUWERWhw7NjFwkcXz11VesXbuWMWPG8sTjj/PSSy/Tu3fvOrdZtWoV1193Hf/4x/8xeM89SU5O5oQTjsdF3F5NOvJIpk+fTvce3Tn0kENIT09v6UORdqi5s2/9BzjbzPYys3TgZuAT59yyJtb3DDDJzA43s2QzyzCz0Wa2tXNuOV5XruvMLM3MRgJqPxQRiQN9+/alb79+zJ07h4MPPjjm9ffv35/KykqWL19evez77xczaND2Md+XSFtTWFjI+7Nnc8VfLmfChAnstNNOTD7mGO6443ZyNmwA4Ndff+XDDz7YbNuSkhLMjK7dugLwv//9jx+iJpCYMGEi7777Dq9Pn96g8WIiTdGslhLn3NtmNgV4CegKfAicVPdWdda3wsyOAm7DS3hCwKfA+X6RU4AngRzgI+ApvAHyAPgzfI13zs1pagwiItI0U6dex8aNG8ns0IHKysqY1p3ZoQMHH3wIDz34ANdeO5XvFi9m1qxZPPHkUzHdj0hb8oeLf+89pyQpiYEDB3La6Wdw/PHHA/DHP17CI488zOmnn0ZeXh69evXi+ONPYP8DDqhRx6BBgzj9jDM44/TTSUpKYuLESey11141ymy11Vbssssu/LxiBUOG7NNahyftTL1JiXNuQNTnqVGfHwYebsjOnHNWV93+sk+Ag7aw/Y/AqKrPZjaViKQkYoYvERFpZdts07JD/K7661+59tprGDNmNF26dOGqv/6V7bdXS4m0TzNmzKxzfXp6Ohdf/AcuvvgPm63bd999efOtt6s///73F/P7319cZ31bbdWHPQYPxszqLCfSVFY1m0Jb5Ccl2zvnToteN2TIEDf7fTWYiIiIiDTHypUrOfHEE3ju2efot/XWQYcjraxTdscFzrmhLb2f1n6iu4iIiIi0EQ/cfz/HHXsMZ555phISaVFtuqWkLmopEREJ3jGTJ7N69arNll895RomTJgQQEQiItIYrdVS0twpgUVERLbo5f/+N+gQRESkDVD3LRERERERCZSSEhERERERCZSSEhERERERCZSSEhERERERCZSSEhERERERCZSSEhERERERCZSSEhERERERCZSSEhERERERCZSSknbq6+XJQYcgIiIiIgIoKRERERERkYApKRERERERkUApKRERERERkUApKWmHqsaTaFyJiIiIiMQDJSUiIiIiIhIoJSUiIiIiIhIoJSUiIiIiIhIoJSUiIiIiIhIoJSUiIiIiIhIoJSUiIiIiIhIoJSXtjKYBFhEREZF4o6REREREREQCpaSknVPLiYiIiIgETUmJiIiIiIgESkmJiIiIiIgESkmJiIiIiIgESkmJiIiIiIgESkmJiIiIiIgESkmJiIiIiIgESkmJiIiIiIgESkmJiIiIiIgESkmJiIiIiIgESklJO6Knt4uIiIhIPFJSIiIiIiIigVJSImpBEREREZFAKSkREREREZFAKSkREREREZFAKSkREREREZFAKSkREREREZFAKSkREREREZFAKSkREREREZFAKSkREREREZFAKSkREREREZFAKSkREREREZFAKSkREREREZFAKSlpJ75entys9SIiIiIiLUVJiYiIiIiIBEpJiYiIiIiIBCol6AAkcVRUwtr8JApLIOws6HAaJckcnTo4enZ2pKgnm4iIiEirUlIiMVFYCivWJRMOBx1J04QxcgqMjcWwbc8QmelBRyQiIiLSfqj7ljRbUSn8vLbtJiSRKkOwbG0ypeVBRyIiIiLSfigpkWYpr4Sf1yXjXNCRxE44DMvXJlEZCjoSERERkfZBSYk0WdjBinVJCdFCEq0yZPyyPimhki0RERGReKWkRJpsbZ5RWt62BrQ3RlGpsX5j4h6fiIiISLxQUiJNUlQKGzYm/uWzLj9J40tEREREWlji31VKzJ/WHgrDyg3t49JxDn7ZkERY3bhEREREWkz7uLOUBmlo8rI2z6iobD/dmsrK1Y1LREREpCUpKZFGKSqFnIL2d9msVzcuERERkRYTN3eXZjbVzJz/CptZrpnNM7ObzGyrqLIXmNl0M9vglx8dTNTtS3vqthVN3bhEREREWk683WHmAyOA/YGTgJeB04EvzWyfiHJnAN2AN1o9wnZsTW5Su+q2Fa2s3FiX136PX0RERKSlpAQdQJRK59zHEZ/fMLOHgPeBZ81sZ+dcCNjfORc2s92BkwOJtJ3JKzLyCnVDvn5jElkZITpmBh2JiIiISOKIt5aSzTjn8oDLge2BQ/1lCfi4vvhVVgGrc+L+Umk1v2xIprwy6ChEREREEkdbudOcBVQCwwOOo92pDMHPCfrU9qYKhbwn2Yd0TkRERERiok0kJc65UmA90DvoWNqa5jyjJBT2EpLyCnXbilZabqxYr4HvIiIiIrHQJpISn+6MW0FVElMZguVrkygp02nfkqIS42e1mIiIiIg0W7wNdK+VmWUA3YFfg46lrXHOsbGwnNz8EkrKKslMT2Grnh3JSN/yr76k3Oue1J5n2mqoohLjp1+T2KZHmPTUptczY84vsQsqwYwftXXQIYiIiEgLaxNJCTAGL9aPGrrBokWL6JTdseUiajMMLOrX7EKQ2gNSu4FFJB7OQcUGksIbsSQlJI3hwiHCoYpGbZOe1Z1uffYgKamt/BkG40/+z3CogpzVX1BWnBtoPCIiIhJ7cX83ZGZdgFuBpcDbDd1u7733Zvb7c1oqrISwLqeUH1ZspKQsRLfO6QzcOpvsrGZ83S+NVlrudZOrDCkJrEtqiqN/r+a1RomIiEjjtdaX/PGWlKSYWdUMW9nAPsD5QAdgnP+MEsxsKDAA2MYve5CZ9QCWOefmt27IbVfPbhn07JYRdBjtWkYaDOgdZtmvSky2JDXFMaB3mLR4+9dKREREYibe/pvvjNdFywEb8VpHngHuc86tiSh3EXBmxOep/s8ngbNaPEqRGEpPhf69wvz0a7KmXo6SnOydGyUkIiIiic2cS8w5TYcMGeLUfUvaksISWL4u2UvJBQwG9AqRpcY8ERGRwHTK7rjAOTe0pffTlqYEFkloHTOhV2c1lVTZqktYCYmIiEg7oaREJI706OTokKGmko6Zju6ddB5ERETaCyUlInHEDPp1D5PUjv8yk5O9cyAiIiLtRzu+9RGJT2kp0Kdb+70p79M1TEpy0FGIiIhIa1JSIhKHumQ5Oma2v+5LnbIcnbPa33GLiIi0d6060aaZTQbuBboCo5xzi1pz/9I69tpzcEzq+ezzL2JST1vVt1uYpau9aYJPPXK3mNT5r1e/jkk9LSEl2WslERERkfantWf/vwO4yDn3Sivvt12695576Na9G6eddnpM6z31lFO47vrr2X777WtdH6tkoqXih/qPIR6k+t24Vq5Pilky8eyTd9G5S3fGH3VGTOpriil/PpHf/uEmtt625rnv003dtkRERNqr1u6+1R+o9e7KzPR4tAYqLi5m/PhxTJ8+vXpZUVER4w4/jLfeehOAnJwcpk2bxnHHHd/geteuXcshB49l6rXXMn7c4ew/YjgnnHA8c+fWfN7LGWeeyUMPPlBvfa+/Pp1TTj6JEcP345CDx3LhBeezaOFCAMaPH8d+w/ZlxPD9OHjsGKZMuZri4uLqbZsa/2GHHlJj2fLlyxm271CuuvLKJh1D0LpkObI7bOrO9MHs17j6TydwzglDufDMg7h16m9Z/M0CAP7wm0M567ghnHPCUC4440AevvsqSkuKqrfdmJ/D3Pde5eBxJ8Q8ztwNa7no7LE1lq1ZtZyzjt2bB//+lxrLJ0w+mxf/dV+NZZ2zHJ06qNuWiIhIe1VvUmJmy8zsUjP7wszyzew5M8uIWH+emS01sxwze9XM+tZSR7qZFQLJwOdm9kNE3X8xsy+AIjNLMbPhZvahmeWZ2edmNjqinu3MbLaZFZjZW2Z2v5k9E4Pz0KZ06NCBKVdP4Y7bbyMnJweAu++6k1133Y1DDz0MgFdffYWRo0aSkdHwBz3MnTuH/fc/gN5b9eafjz7G3A8+5KILL+Lyyy5j5cqV1eVGjx7NvHnzWL9+/Rbrevqpp7j9tts499zf8O677zFj5huccMKJvDfrveoy99x7Hx99/AnPPf8Ci7/7jkcf/Wf1uqbGf8ABB9RYdsvNN7Pbbpt3fWrIMcSLvt3CpCQ7Xv/fEzzzz1s56rjzePCp97nn0bc59IiTWPDJpnN66dUP8Njz87n5npdY/uO3vPripnP6/jv/Y8+ho0hLj/3DPz5b8D57DhlZY9njD9/IwB1236zskGFj+ObLT8nLXQdAaopr1wP7RUREpOHdt04AxgGlwAfAWcDDZjYWuAU4DK8F5A7gWeDAyI2dc2VARzNzwJ7OuaURq08GJgDrgd7AdOB0YCZwMPCSme3snFsH/Bv4yN/ffn7ZdtkVbP8DDmDkqFHcduvfOPa443nzzTd56eX/Vq//YO5cjj56MgDl5eWMGX0QJSUlpKenA1BWVkZKSgr33nc/w4cPB2DunLlMmDCBgw/Z1Npw4EEH0a9fP7799hv69esHQHp6OrvsuisffvgBRx551GaxFRQU8OCDD3Dd9TfUqOug0aM5aPTozcr36NGDEfvvz+LFi2uNH+DGG27g5ZdfIiUlheTkZMLhMOXl5Rx77HFcPWVKjfirzJwxg+xO2ew5cE9W/Lyixj7rO4Z4kpIMXTLyefHf9/Pbi29i3/0PrV43ZNgYhgwbs9k2Xbr2ZI+9D2D5T99VL/t8wRwOOuSYRu//0Qev4703XyQlOYUk/9xXVpQz5vDjOfeCawH4bP4cRo6eWL3NR++/TlZWNv123otfV/9co760tHS2G7QbXyz8gIMOOZpteoRJ1pQbIiIi7VpDbwXudc6tcs7lANOAvfzlpwKPOecW+onHlcAIMxvQiBjudc6tcM6VAKcBrzvnXnfOhZ1zbwHzgSPMbFtgX2CKc67MOfe+H0u7ddlllzN//nwuu/TPXPKnP9OjR4/qdUuXLqX/gAEApKWlcdnlf2HYsP346ONP+OjjT9h662146OGHqxOSiooKFi5cwPARI2rsY8OGDSxfvpxBg2r2/x+43UC+X/x9rXF98cXnlJeXM3bs2FrXR/v11zV8MHcu22yzTa3xA1w9ZQqDB+/JX6+ewkcff8I9997HVn36VCck0fEXFhby4IMPcumll25xv3UdQ7xZuvhzKirKGTri4AaV37B+DZ8vnEvvPttWL1uxfAl9th7Q6H2fe8G17LDTnpx9wTU89vx8Lr36Abr37FOdkFRWVvDd1/PZfa/9ASguLuTFf9/PqedevsU6+24zkJ+XLaZv9zCZ6Y0OSURERBJMQ1tK1kS8Lwaqumj1BRZWrXDOFZrZBqAfsKyBdUd+hd0fON7MJkUsSwXe8/eV65wrili3HNiGdqpTp04MGjSIzz//nIMPrnmzWlBQQFZWVvXnpUuWsMMOOwBQUlzML7+sYIcddqxev3DhAnbcccca21RUVHDVlVcwadKRbLfddjXq75DVgfXrau/6lJeXT5cuXUhJqfvyuuSPf8DMKC4uZtiwYZx//gVbjL8+0fE/8MD9TJ48md69t9riNnUdQ7zJy8una5cu9OuZxJpcYAvDL+68+feYGaUlxew2eD+OPfnC6nXFRQVkZjb8nDbUd18voP92O5HZwav7xX/dx+hDj6F7jy2f+8zMLMqK19JF0/+KiIgIzZ99axVeIgGAmWUB3YGVW9xic5F3JSuAp51z50UXMrP+QFczy4pITLZli7dniW/6a6+xatUq9ttvP+65++7qVgOA7Oxsioo25W9Lli7hiCMmVL/v0aMHnTp1ql4/d85cRo4cVf05HA5z9V//SkpqKldEDRIHKC4qJjs7u9a4unTpTF5eHpWVlXUmJnfdfQ/Dhw9n/vz5XHnFFeTl5VXHFB1/fSLj/+677/jk40947vnn69ymrmOIN1XntHNmBempKazJTaKs3DYr96er7mP3vUbw7VfzeOCOyynYmEtWR++cZnXsRElJzXN641Vn8e1X82rd54677M21t9Y/ZOuz+e+z5z5ej81lP37LV599xM13v7jF8hlpjlQrJLtr2zj3IiIi0vKam5T8B/iPmf0b+Ba4GfjEObesifU9A8wzs8OBt/FaSYYDS51zy81sPnCdmV0FDAMmAa828xjapJwNG7jjjtu57bbbGbDddhx7zGSOmHAEQ4bsA8COO+7I8uXL2X13b6BxZEvJ94u/r35fZe7cOfz9zrsAcM4x9dpr2bBhA/c/8ACpqamb7f/Hn36sMX4j0uDBe5Kamsp7771bPfC+LkOHDuXIo47kzjv/zt1331Nr/PWJjH/+/HmsWrWScYd7+y4uLiYcDnPSiT/w7HObEpW6jiHeRJ/T7fuEKa+EcMT48JRkb1rdQX1CDOozhBVLjuSV/9zObXdUndMdCBf9xKA+u1Zv8/jjj9az5xAAGWnQq7NjUJ8QG372pu4d1Mdb983n7/O32+5iuz4h5r33CRvWreSS87yxRCUl3rm/7rKlPPXM8yQneVMdr/i57Zx7ERERaXnNGl7qnHsbmAK8BKwGBgEnNaO+FcBRwFXAOryWk8si4jwFb4B7DnAt8FTk9mZWaGajaAdu+dstjB4zhn2HDaNnz5788ZJLuP666ygvLwdg5MhRLFgwH/Cm183NzWXgwIEA/LTsJ7btX93AxcpffqG8vLx6/U033shPP/3IvffdV+vsV2VlZXz7zTcMHz5is3XgtXJccMGF3HLzzbz77ruUlJRQUVHB3LlzuOuuO2vd5tRTT+Pjjz6qHuweGX9t0tPSKPXrjY7/2GOP47Xpr/Pc8y/w3PMvcPzxxzNq1CgefOjhBh9DvKntnJqrYP6nc3jogTvJSAMzSEv1EoiMNDjzjNP49JOPWP7TYjLS4KADR/HF5/Or1zfmlWReMpGRBtlZaZSVlpBsFWxY+wuVFeXsstNAMtLgxBO9c//8Cy/w/Aubzv3DDz9MRppXR1s79yIiItLy6k1KnHMD/OSj6vNU59xpEZ8fds4Ncs51c85NdM79UkddFjnzVnTd/rJPnHMH+fX1dM5NcM797K/70Tk3yjnX0Tl3KN6MXZHbdnTO1XyoRgJ69913+WzRIi655E/Vy4455lh69uzJI494N94TJ01i7pw5lJaWsnTJErbeepvqBKNXr1689eabfPmF95DDOXPmVHd9WrVqFS+++AKLFy/m4LFjGDF8P0YM36/GM1Fmz57N0KH70qtXry3GeMaZZ/LnSy/jn//3D8aMPohxhx/Gs88+y5gxtQ9+79atG5MmTeIftcRfm+132IGMzEzOOfusGvEDZGZm0qNHj+pXZocOpKWl061bt0YdQ7xp6XPaUO3x3IuIiEjLMufa7pAMM5sKbB+ZJFUZMmSIm/1+wucndbr33nvo1q3+J6JfeOEFnHTSyYwa1bBGptNOPYWpU69j+6guYLHWUvFD6x1DvGnoOW0onXsREZHE1im74wLn3NCW3o+SEuHxxx/j5JNPadSDCuNJW4+/LdO5FxERSWxKSppJSYmIiIiISPO0VlKi5yiLiIiIiEiglJSIiIiIiEiglJSIiIiIiEiglJSIiIiIiEiglJSIiIiIiEiglJSIiIiIiEiglJSIiIiIiEiglJSIiIiIiEiglJSIiIiIiEiglJSIiIiIiEiglJSIiIiIiEiglJSIiIiIiEiglJSIiIiIiEiglJSIiIiIiEiglJSIiIiIiEiglJSIiIiIiEiglJSIiIiIiEiglJSIiIiIiEiglJSIiIiIiEiglJSIiIiIiEiglJSIiIiIiEiglJSIiIiIiEigUoIOQESktRSs/pW8Zb/gnAs6FJG4ZUlJdBvUn6ye3YMORUTaESUlItIulOTms+azr5WQiDTA6vyNbDtyGGlZHYIORUTaCXXfEpF2Yd23S5SQiDRQOBRi/eIfgg5DRNoRJSUikvCKN+RSmpcfdBgibUrRr+soLyoOOgwRaSeUlIhIwstfsSroEETaHOccG/W3IyKtREmJiCS0cGUlRb+uCzoMkTZp4+pf1e1RRFqFkhIRSWhF6zYQDoWCDkOkTaosKaU0b2PQYYhIO6CkREQSWtHa9UGHINKmqaVRRFqDkhIRSVjOOYrWbgg6DJE2rWi9/oZEpOUpKRGRhFWWX0CooiLoMETatLKNhVSWlgUdhogkOCUlIpKwitfnBB2CSEIo3qC/JRFpWUpKRCRhFefkBh2CSEIo3qC/JRFpWUpKRCQhuXCY0lw9MFEkFkpy8oIOQUQSnJISEUlIpXkbNRWwSIxUFJdQUVwSdBgiksCUlIhIQipRK4lITJXk5gUdgogkMCUlIpKQdAMlEltK9EWkJSkpEZGE45zTU6hFYqw0T0mJiLQcJSUiknAqiksIlZcHHYZIQikvKCJcWRl0GCKSoJSUiEjCUTcTkdhzzulvS0RajJISEUk46mYi0jLK8guCDkFEEpSSEhFJOEpKRFpGif62RKSFKCkRkYQSDoUo21gYdBgiCak0byPOuaDDEJEEpKRERBKKZt0SaTmh8nI9RFFEWoSSEhFJKEpKRFpWab7+xkQk9pSUiEhC0XgSkZalxF9EWoKSEhFJKKUbNTuQSEtSUiIiLUFJiYgkjMrSMipLSoMOQyShlW0sIBwKBR2GiCQYJSUikjDU112k5blwmPKCoqDDEJEEo6RERBKGupWItA59ASAisaakREQSRkmuBrmLtAb9rYlIrCkpEZGE4MJhyjTIXaRVqKVERGJNSYmIJITyomLClZVBhyHSLlQUFROqqAg6DBFJIEpKRCQhqDuJSOvS35yIxJKSEhFJCHpookjrKlVSIiIxpKRERBKCZt4SaV36mxORWFJSIiJtXqi8nPJCPTdBpDWV5m/EhcNBhyEiCUJJiYi0eSX6xlak1YUrKynTQxRFJEaUlIhIm1eakxd0CCLtUkluXtAhiEiCUFIiIm2eZgESCYYGu4tIrCgpEZE2LRwK6UFuIgFRS4mIxIqSEhFp00rzNNhWJCiVpWWUFxUHHYaIJAAlJSLSppVsyA06BJF2rURjukQkBpSUiEibVqwbIpFAFeuLARGJASUlItJmhUMhPcldJGDFG3KCDkFEEoCSEhFps0py8jSeRCRgobJyygoKgw5DRNo4JSUi0mYVr9c3tCLxQH+LItJcSkpEpM0qWrch6BBEBChaq79FEWmelKADEBFpivKiYsoLixpc3lWGobQCF1J3L5H6WHISZKZ6PxugJDePUEUFyampLRyZiCQqJSUi0iYVrV3foHKuoIzw+iLCxWUtHJFIojGSOqaT1DML65BWZ0kXDlO8IZfsrXq1UmwikmjiovuWmU01M2dmS7awfom/fqr/eXsze8TMvjCzkJnNas14RSR4hWvW1bnelVUSWpZD5c85SkhEmsQRLiyl8qcNhH7OxVXU3cpY39+kiEhd4iIp8ZUC25nZ0MiFZrYvMMBfX2U34AhgMfB9awUoIvGhsrRsi1MBOyC8oYjKH9YTLlIyIhIL4YJSKn9YRzivZItlitau12x4ItJk8ZSUFAHvAidFLT/JXx7ZeXyac24b59zxwNetFJ+IxImC1b/inNtsuasME16eQ2jNRqhlvYg0QyhMaGUeoV/ycKHN/77ClZUUNrBbpYhItHhKSgCeBU4wMwPwf57gL6/mnNNXMSLtWMGqXzdb5grLqFy6jnChWkdEWlI4v4TQD+txxeWbrStYuSaAiEQkEcRbUvIy0BsY6X8eBfT0l4uIULaxgNL8jdWfXShMaFU+lctzQDNribQKV1FJ5U85hH4twIU3tZoUrV1PZZm+GBCRxourpMQ5lwfMZFMXrpOAmc652juPi0i7k79iFeCPHcktoXLJOsK5xcEGJdIuOcLrCwktXU94ozfs0znHxhWrA45LRNqiuEpKfM8Cx5lZOnAcUV23RKT9CpWXk//zKsK5JYSWrCO0Kk+tIyIBcxWVhFbkUvnjBsIbS8ld9osGvItIo8Xjc0peBf4J3ARkAdOaUsmiRYvolN0xlnGJSMBSgK2SskiOy+9TRASg0oVY7YpRWiIijRF3SYlzrsjMXgMuAV5wzjX8kc0R9t57b2a/Pye2wYmIiIiItCOt9SV/3CUlvoeAdODhoAMREREREZGWFZdJiXNuFjBrS+vNrAPewxMB+gGdzOw4//PrzjmNehURERERaSPiMilpgF7AC1HLqj5vByxr1WhERERERKTJ4iIpcc5NBabWU6ZHxPtlgLVoUCIiIiIi0io0hY2IiIiIiARKSYmIiIiIiARKSYmIiIiIiARKSYmIiIiIiARKSYmIiIiIiASqVZMSM5tsZivMrNDM9m7NfYuIiIgIzJs3j8MOPSToMERqaO2WkjuAi5xzHZ1zi1p53yIiEmPjx49j6D5DyM3NrbH8xBNOYK89B7Ny5cqY7evZ//yHU04+iX2H7sOUKVfHrF6Rtmj8+HHsN2xf9h8xnJEjD+CMM07nheefJxwOBx2aSJO0dlLSH/i6thVmFhfPTBERkcbp168fM2fMqP68ZMn3lJaWxHw/PXv25Dfn/T+OPvromNct0hbdc+99fPjRx8yYMZNzzjmHxx9/jKnXXht0WCJNUm9SYmbLzOxSM/vCzPLN7Dkzy4hYf56ZLTWzHDN71cz61lJHupkVAsnA52b2Q0TdfzGzL4AiM0sxs+Fm9qGZ5ZnZ52Y2OqKe7cxstpkVmNlbZna/mT0Tg/MgIiJNNHHiJKa9Nq3687RXX2XipEn1bjdlytXcdNONXHjB+YwYvh9nnnkG69ev57bbbmXUyAM4+qgj+e7bb6vLH3zIIYwdO5bOXbq0xGGItFnZ2dmMHj2GW2+7nWnTXmXpkiWUl5dz59/vYNzhhzF2zGhuvOEGSktLa93+sUcfZeKEI9h/xHCOmXw0777zDgAVFRUcOGokS5Z8X102Z8MGhu83jJycnNY4NGlHGtpScgIwDtgOGAycBWBmY4Fb/PV9gOXAs9EbO+fKnHMd/Y97OucGRaw+GZgAdAF6A9OBG4FuwKXAS2bW0y/7b2AB0AO4ATizgfGLiEgL2WPwYIoKC/nxxx8JhULMnDmTCRMmNmjbt958kwsv+j2zZr9PWmoqZ5x+GrvssguzZr/PIYceyh133NHC0Yskjj322IPevXuzcNFC7rnnbpYvX85zz7/AtNems3btr/zjkUdq3W7rbbbhscefYO4HH/Lb3/6Oq666knXr1pGamsrh48Yx/bXp1WVnzJzBsGHD6NatW2sdlrQTDU1K7nXOrXLO5QDTgL385acCjznnFjrnyoArgRFmNqARMdzrnFvhnCsBTgNed8697pwLO+feAuYDR5jZtsC+wBQ/yXnfj0VERAI2ceIkXps2jY8//ojtBg6kV69eDdpuzNix7LrrrqSnpzN27MGkp6czadKRJCcnc/jhh/Pd4u9aOHKRxNKzZ0/y8/N56cUXufSyy+ncuTNZWVmc+5vzmDlzRq3bHHbYYfTq1YukpCQOHzeObfv356uvvgLgyElHMnPmDJxzAEx/7TUmTKy/JVSksRo6jmNNxPtioKqLVl9gYdUK51yhmW0A+gHLGlj3ioj3/YHjzSzyak8F3vP3leucK4pYtxzYpoH7ERGRFjJh4kTOPedsVq5cyaRG3LB07969+n16RjrdIj+nZ1BSXBzTOEUS3dq1awmFQpSWlnLyySdtWuEcoVCo1m2mTXuVp59+mlWrVgFQUlxMnj95xR6DB5ORkcH8efPo0bMnP69YwejRo1v6MKQdau7g8lV4iQQAZpYFdAcaM92Ki3i/AnjaOXdedCEz6w90NbOsiMRk26jtRUQkAH379qVvv37MnTuHqVOnBh2OSLv01VdfsXbtWsaMGcsTjz/OSy+9TO/evevcZtWqVVx/3XX84x//x+A99yQ5OZkTTjgeF3F7NenII5k+fTrde3Tn0EMOIT09vaUPRdqh5s6+9R/gbDPby8zSgZuBT5xzy5pY3zPAJDM73MySzSzDzEab2dbOueV4XbmuM7M0MxsJqP1QRCROTJ16Hf/4v3+S2aFDi9RfWVlJWVkZ4VCYcChMWVkZlZWVLbIvkbaksLCQ92fP5oq/XM6ECRPYaaedmHzMMdxxx+3kbNgAwK+//sqHH3yw2bYlJSWYGV27dQXgf//7Hz8sXVqjzIQJE3n33Xd4ffr0Bk1iIdIUzWopcc69bWZTgJeArsCHwEl1b1VnfSvM7CjgNryEJwR8CpzvFzkFeBLIAT4CnsIbIA+AP8PXeOfcnKbGICIiTbPNNi3bm/b//u8fPPLww9Wfp09/jd/+7necf/4FLbpfkXj1h4t/T3JyMklJSQwcOJDTTj+D448/HoA//vESHnnkYU4//TTy8vLo1asXxx9/AvsfcECNOgYNGsTpZ5zBGaefTlJSEhMnTmKvvfaqUWarrbZil1124ecVKxgyZJ/WOjxpZ6xq4FJbZGZTge2dc6dFrxsyZIib/b5yExEREZHmuvaaa+jZqycXXfT7oEORVtYpu+MC59zQlt5Paz88UURERETakJUrV/LOu+8w+ejJQYciCUxPURcRkRZzzOTJrF69arPlV0+5hgkTJgQQkYg0xgP3388zzzzNOeeeS7+ttw46HElgbbr7Vl3UfUtEREREpHnUfUtERERERNoFJSUiIiIiIhIoJSUiIiIiIhIoJSUiIiIiIhIoJSUiIiIiIhIoJSUiIiIiIhIoJSUiIiIiIhIoJSUiIiIiIhIoJSUiIiIiIhKolKADEJEmCBWRnD8fQkVBR9I4KdmEOg2F5MygIxEREZE4opYSkbbGOZI3ftb2EhKAygKSCz4D54KOREREROKIkhKRNsbKVkNlftBhNF1FLla+NugoREREJI4oKRFpY5JKfgo6hGazBDgGERERiR0lJSJtSeXGtt1K4rOKnLbZ/UxERERahJISkTYkqWxV0CHEjCXQsYiIiEjzKCkRaUOsbE3QIcRMUgIdi4iIiDSPkhKRtqKyAELFQUcRO4l2PCIiItJkSkpE2ggrXxd0CDGXiMckIiIijaekRKSNsIr1QYcQc4l4TCIiItJ4SkpE2gIXwipyg44i5qwiB1w46DBEREQkYEpKRNqCyjxwoaCjiL1whTfNsYiIiLRrSkpE2gCryAk6hBaTyMcmIiIiDaOkRKQNSOQb90Q+NhEREWkYJSUi8c45rCIv6ChajFUm3lgZERERaRwlJSLxrjI/MceTVAlXeM8sERERkXZLSYlInGsPLQmJOLOYiIiINJySEpE4l8hdt6pYZV7QIYiIiEiAUoIOQETqtqUb9nA4jAtVtm4wzWTJKSQlbf5diFpKRERE2jclJSLxLFQKoZLNFhfmrCN/9QpcuG09eNCSkujStz9ZXbvXXBEqgnA5JKUFE5iIiIgESt23ROKYVeZvtqxkYx55K5e3uYQEwIXD5P7yE6UFmz8wsbZjFRERkfZBSYlIHIse5B4OVZK7cnlA0cRO7splhKOTKo0rERERabeUlIjEseixFgXr1xKurAgomtgJVZRTtGFtjWUaVyIiItJ+KSkRiVfO1Xh+RzhUudmNfFtWsG5NjdYSq9zoHbOIiIi0O0pKROJVqADcptm1inNzCLex2bbqEg5VUpKXE7GgHMLFwQUkIiIigVFSIhKnop9PUpiTOK0kVaKPqT08k0VEREQ2p6REJE5FzkZVVlRIZVlpgNG0jIqSYspLNrWOaAYuERGR9klJiUicipx5qzh3fYCRtKzIY9NgdxERkfZJSYlIPApXeg8UxHu2R8nGvGDjaUHF+bmbnrkSKgDX9p6/IiIiIs2jpEQkHoXyq2eiKi3cmFAD3KOFKysoKyr0PrgwVG7+YEURERFJbEpKROJQZDem4sgZqhJUcf6mY4x+YKSIiIgkPiUlInGoasB3OBymtCDxB3+Xbsyr7sJlFYl/vCIiIlKTkhKROFR1Y15akI8LhwKOpuWFQ5WUFXkPirTKvGCDERERkVanpEQk3oSKIOxN/1uysf10ZSrJ9481VAyhxJv+WERERLZMSYlInKlqJXHhMKUb209XppLILlx6XomIiEi7oqREJM5UDfQuKypoF123qoRDlZQXe9Mga7C7iIhI+6KkRCTOVM28VZzf/m7Mq45ZD1EUERFpX5SUiMSTcCVUbsQ5R2kCPzBxS6qPuTIfXPtpJRIREWnvlJSIxJHqrluFBQn9wMQtCVWWew9SdGHQLFwiIiLthpISkThiFd5DBEvaYStJlapjVxcuERGR9kNJiUgcsYocXDjcrqYCjlaSn4NzrjpBExERkcSXEnQAIuJzIajMp6y4kHBlRdDRBCZUUU55SRHpSSleNy7TdyciIiKJTv/bi8QJq8gBF970EMF2rCQ/10/S8oIORURERFqBkhKROGEVG7yuW0pKKMnL9btwbQg6FBEREWkFSkpE4oSVr6e0cGO7nHUrmjcLVwFJ5euDDkVERERagZISkXgQLoNQAcV5GtxdpTgvx3teSbj9jq8RERFpL5SUiMQBK19PuLKiXU8FHK0kP4dwqFJduERERNoBJSUiccDK11Gc6w10F48LhynJy8HK1wUdioiIiLSwuEpKzGyWmb24hXXzzeyJiM8HmNknZlZqZj+Z2cWtFqhILLkwlP1KYY5uvqMV5qzFyn8F54IORURERFpQXCUlDWVm2wNvAD8BRwCPAHea2W8CDUykCaxiA2WFuVSWlQQdStypKCmmrDAHKjUjmYiISCJrqw9PvAxYBZzmnKsE3jWzbYFrzexR5/S1qrQdVraawvVrgw4jbhWuX0u37qsIp3YLOhQRERFpIW2ypQQYD7zsJyRVngW2BnYPJiSRJnBhKvJ/orQgL+hI4lZJfi6hjcvVhUtERCSBtbmkxMyygG2A76JWfev/3Ll1IxJpOitfS8Gan4MOI845Nq5ZhlVozI2IiEiianNJCdDF/5kXtbyq03nXVotEpJnKN3xNyUaNl6hPcV4OlbnR30OIiIhIomiLSYlIQnCVhWxc/lnQYbQRjvzlC3GVxUEHIiIiIi0g3pKSSiB5C+uS/fV5/ufOUeurWkj0tbO0CcUrPqC8pCjoMNqMssKNlPzycdBhiIiISAuIt9m31gEDtrCuD7DWOVdkZivYfOxI1efvABYtWkSn7I4tEmSiG7kDbNMl6Cjalh/Ww6c/NW6bDqmQsqUUXGpVGbqN4oqgoxAREZFYi7ekZA5wrJn1c86trFpoZvsBvf31ADOAyWZ2tXMu5C87EVgBfAWw9957M/v9OUjjueJVrJ3/JOFK3f01REpaBj2G/T8srUvQoYiIiIjEVGt9yR9v3beeAn4G3jezs81srJldCEwDPsR7YCLA7XjT/z5tZmPM7HLgt8D1ekZJ81mHvnTut2PQYbQZXbbdXQmJiIiISDPEVVLinCsEDsRrEfkbXhJyJfAcMN45F/bLLQXGAdvjtZpcAPzZOffPIOJORBl99iY1o0PQYcS99KxOpPXaM+gwRERERNq0eOu+hXNuFXBWA8rNBYa1eEDtVUY/OvXuy4blS4OOJK512mobXPpWQYchIiIi0qbFVUuJxJGkdDJ67EBKembQkcSt9Kxs0rptD6bR6iIiIiLNoaREtsilb0V2j95BhxG3OvbojUtTK4mIiIhIcykpkS1yaVvRoWt3kpLjrpdf4JLT0sno1B2X1jPoUERERETaPCUlsmVJqZDWnQ5dewQdSdzp2K0npPcE05+QiIiISHPpjkrq5NJ6kdVNSUlNRocu3XFpvYIORERERCQhtGpSYmaTzWyFmRWa2d6tuW9pGpfWk9T0DNI6tM6Dc9qCjOzOJKemquuWiIiISIy0dkvJHcBFzrmOzrlFrbxvaYqUbEjOpEPX7q2+68df+5L/zl7SInX/4a53WL46v0nbdujaHVI6QVJ6jKNqeffecw/PPPN0oDGcesopLF2qqaZFRERkk9ZOSvoDX9e2wsw0mjpOudQedOjctdHjJ95b8DMX//0dJv/lv5xyzWtMeWQOX/24HoAzr3+doy5/2V83jb//ex4lZZXV2+YVlvHO/OUcMWJgg/e3Ib+E06ZOr7Fs5boCjrzsZW575tMay48dvSNPz/ymUccDkJScQmZ2Z1xaMF3aXn99OqecfBIjhu/HIQeP5cILzmfRwoUAjB8/jv2G7cuI4ftx8NgxTJlyNcXFxdXb5uTkMG3aNI477viYx7V27VoOO/SQGsuWL1/OsH2HctWVV9ZYfsaZZ/LQgw/EPAYRERFpu+q9yzSzZWZ2qZl9YWb5ZvacmWVErD/PzJaaWY6ZvWpmfWupI93MCoFk4HMz+yGi7r+Y2RdAkZmlmNlwM/vQzPLM7HMzGx1Rz3ZmNtvMCszsLTO738yeicF5kDq4VG8GroyOnRq8zcuzvueR/33OiYfuzH+un8RT1x7BhAMG8fFXq6rLTD33AP5762Tuv/RQfliZx3Nvf1e97u1Pl7HvLn1IT2v4M0DmfbuGoTvXnML4gRcXseM2XTcrO3z3vny+dC05G0sbXD9ARqcuWFISLrX1W46efuopbr/tNs499ze8++57zJj5BieccCLvzXqvusw9997HRx9/wnPPv8Di777j0Uf/Wb3u1VdfYeSokWRkZNRWfbPMnTuHAw44oMayW26+md12222zsqNHj2bevHmsX78+5nGIiIhI29TQ1okTgHFAKfAB3hPXHzazscAtwGF4LSB3AM8CB0Zu7JwrAzqamQP2dM5F9t04GZgArAd6A9OB04GZwMHAS2a2s3NuHfBv4CN/f/v5ZV9p3CFLY7nUbgBkdu5KaUFeveWLSip4esbX/OnkfTlgcL/q5cN378vw3TfLWenWKYN9durNjys31T3/2zUctt+A6s/llSFOunoaZeWVpKV6iUp5RYjk5CSu+80B7L1Tb+Z9s5qxQ/tXbzNr4Qo6Zqax7XbZrFpfVGOfaanJ7LB1VxZ8t4ZDhw2goTp07gaWVH1OWktBQQEPPvgA111/AwcfsqlF4qDRozlo9OjNyvfo0YMR++/P4sWLq5d9MHcuRx89udH7Li8vZ8zogygpKSE93euyVlZWRkpKCvfedz/Dhw9n7py5TJgwoXqbmTNmkN0pmz0H7smKn1fUqC89PZ1ddt2VDz/8gCOPPKrR8YiIiEjiaWh/nHudc6uccznANGAvf/mpwGPOuYV+4nElMMLMBjQihnudcyuccyXAacDrzrnXnXNh59xbwHzgCDPbFtgXmOKcK3POve/HIi0tOQOSs8js1KVBXbi+XbaB8sow+++xeQJSm3V5xcz/bg19e2waTP/T6nz69cqu/pyWkszvJu/Fnjv04r+3Tua/t06mT4+O3PS7Uey9U28qQ2G++nE9e+/ozYhVVFrBMzO/5ryjB29xv9v07sRPqxo+riQpOYX0jtmQ0rnVn+L+xRefU15eztixYxtU/tdf1/DB3Llss8021cuWLl1K/wEDGr3vtLQ0Lrv8Lwwbth8fffwJH338CVtvvQ0PPfwww4cPp6KigoULFzB8xAgACgsLefDBB7n00ku3WOfA7Qby/eLvGx2LiIiIJKaGtpSsiXhfDFTdbfYFFlatcM4VmtkGoB+wrIF1R36N2h843swmRSxLBd7z95XrnIv8yns5sA3S4lxqd5JCRWRkd6J0Y16dZTcWl9M5K43k5LoTmOsf+xAzo6Sskj136Mlp43etXldUUkGH9JqX57LV+WzXtzMApWWVrF5fyIA+3ucvf1jHdn070yEjFYCnX/+aw/YbQM8uHba4/8z0lEZ138rs1AUza/VWEoC8vHy6dOlCSkrdf7KX/PEPmBnFxcUMGzaM88+/oHpdQUEBWVlZTdr/0iVL2GGHHQAoKS7ml19WsMMOOwKwcOECdtxxx+q6H3jgfiZPnkzv3lt+2n2HrA6sX6fuWyIiIuJp7uDyVXiJBABmlgV0B1Y2og4X8X4F8LRz7rzoQmbWH+hqZlkRicm2UdtLC3Gp3bDSn8ns1LXepKRThzTyi8oJhcJ1JibXnLM/e+/Umy+WruO2Zz5hY2E5HTPTAOjYIY3iiIHv4CUlY/bZFvBaUrp2yiS7g1d+/rdr2HeXPgD8sDKPRd+v5f5Law68jlZSVknHzNQ6y0TK7OwlI0EkJV26dCYvL4/Kyso6E5O77r6H4cOHM3/+fK684gry8vLo1MkbC5SdnU1RUc1ubOeeew4L5s+vta699tqbJ558EoAlS5dwxBETqt/36NGjut65c+YycuQoAL777js++fgTnnv++TqPp7iomOzs7DrLiIiISPvR3Nm3/gOcbWZ7mVk6cDPwiXNuWRPrewaYZGaHm1mymWWY2Wgz29o5txyvK9d1ZpZmZiOBSXVXJ7HiUr3B4pmdOtfbhWuXAd1JTUniwy9X1VmuyuDte3LIvgP456tfVC/brk9nVq4rrFFu2er86paRn1bls12fTQPv532zhn139b6Z/2LpOn7NLeLM66dzyjXTeOm97/ngi1+46I63a9S34teN1S0v9UlKTiE9q6M3niRl84HzLW3w4D1JTU3lvffebVD5oUOHcuRRR3LnnX+vXrbjjjuyfPnyGuUeffQxPvv8i1pfVQkJ1Gwp+X7x99XvwRvkPnKUl5TMnz+PVatWMu7wwzh47BieevJJ3nnnbU468YQa+/3xpx/ZcacdG3cSREREJGE1Kylxzr0NTAFeAlYDg4CTmlHfCuAo4CpgHV7LyWURcZ6CN8A9B7gWeCpye/+hjKOaun+pQ3ImJGf6s3DV/Q13VmYqp4/bjQdfWsSHX66ktLySylCYed+u5tGIxCPS0QftwMLvf60e7L7vrlvx5dJ11evzCsvILyxj295eIrLi14306+nFsWZDERWV4ep140dsx2N/Hc/9lx7K/ZceyhH7D2TfXfpw4+82XRrlFSGW/JLLkJ1qzta1JRnZnbGkJEjuCEmtP3t1dnY2F1xwIbfcfDPvvvsuJSUlVFRUMHfuHO66685atzn11NP4+KOPqge7jxw5igULam8VqUtOTg65ubkMHOhNz/zTsp/Ytr/XQLryl18oLy+vXnfsscfx2vTXee75F3ju+Rc4/vjjGTVqFA8+9HB1fWVlZXz7zTcMHz6i0bGIiIhIYqr37so5NyDq89Sozw8DD9MAzjmrq25/2SfAQVvY/keg+s7SzKYCXSLW67HjLcildMFCJV4XroK6B4gfO2ZHunbK4Nk3v+O2Zz6lQ3oK22/dlZMO3bnW8l06pnPw0P78+81vufrsERw8tD8X3vE2ZeUh0tOSWbY6nz49OlZPEdy9SyYvv7eE0ftsw/c/51a3kgBkpKWQkbbp0s5MTyEtNZkuHTc97PCTr1czeFBPunfObNCxZ3b2WkdcapcGlW8JZ5x5Jt179OCf//cPrrryCrKysthl1135zW826+0IQLdu3Zg0aRL/eORh/n7nXUycNIkTTzie0tLSRk0LvHTJErbeepvqbXr16sXTTz3FEeOP4Ouvv67uugWQmZlJZuamc5rZoQNpael067apy9vs2bMZOnRfevXq1dhTICIiIgnKnGu7QzL8pGR759xp0euGDBniZr8/p/WDSmBWsoykwm8IVVay+tvPaenhPE9M/5LOHTOYfNAOdZab8o+5TBo5iGG79mlw3X+86x3+eNLQ6u5gdbGkZPrssidJSUmEs/fCZTRsVrF4dO+999CtWzdOO+30mNR34YUXcNJJJzNqVMMbKE879RSmTr2O7Xeo+/cqIiIiweuU3XGBc25oS+9HT1GXBqsaV5KckkJ6VjZlRRtbdH9nTdijQeUGD+rJnts37lv3uy85uMFlM7I7k5Tk9SCsOgdt1cUX/yGm9Q0dOpR99923Uds8869/xzQGERERafvadFIS3ZVMWlhytvd8Dhcis1OXFk9KGur4g3dq0fozO3Xx3iRleGNrpNrZZ58TdAgiIiKSAJo7+5a0J5YEKd5g8szOXQCrs3gisKQkMrK9Ll4utWEzdYmIiIhI4ygpkUap7sKVmkZah6Y9iK8tyejYmaRkb3B9EFMBi4iIiLQHSkqkUVxKl+r3HTq3/kMEW1vVrFuglhIRERGRlqKkRBolMinJ7Ny13gcptmWWlExG1XgSM0hWUiIiIiLSEhL3jlJaRvKmwd7Jqan1PkixLcvs1KV61i2SswN5aKKIiIhIe6CkRBrN+YPdATp06R5gJC0r8thcilpJRERERFqKkhJptBpduDp1ISk58VoQktPSSY9oBQrySe4iIiIiiU5JiTRa5A26JSXRoWvitZZkde2B2aYpjyMTMRERERGJLSUl0nhRA747dutJQj2zxJLI6tYz4nMKJCf+9MciIiIiQVFSIo2XlAIpm7o2paRnkNklcZ7h0bFbD5JTNnVJc6mdE3qWMREREZGg6U5LmiS6O1PnXn0T4sbdkpLJ7tmn5kINchcRERFpUW3/LlICET0bVUp6Bp16bhVQNLHTeat+JKem1lim8SQiIiIiLUtJiTSJS928u1Z2rz5ktuGnvGd160XH7r02W+5S2+4xiYiIiLQFiTeXq7SO5I6QlArhiupFZkb3bQdSVtiTUGVFHRvHn+TUNNKzOtayIhOS0lo/IBEREZF2REmJNI0ZLqUTVr5hs1XpCfSUd3XdEhEREWl56r4lTeZSEmfGrS2prZuaiIiIiMSWkhJpunZww66kRERERKTlKSmRJnMpXcAS6KGJ0SwFkhOnK5qIiIhIvFJSIk2XlOoNeE9QemiiiIiISOvQHZc0SyJPl5vIxyYiIiIST5SUSLO41O5Bh9BilJSIiIiItA4lJdIsCXvjbsnQDmYXExEREYkHSkqkeZLSICXxBoO71K4aTyIiIiLSSnTXJc3m0noGHULMudQeQYcgIiIi0m4oKZFmCydiUpKAxyQiIiISr5SUSPOldPWmB04UyZkJ2SVNREREJF4pKZHmsyRcWq+go4gZl9Y76BBERERE2hUlJRITLm2roEOImXB636BDEBEREWlXlJRITLi0XpCUEXQYzZfSEVK7BB2FiIiISLuipERiw4xw5rZBR9Fs4YwBQYcgIiIi0u4oKZGYcRn9veeWtFXJmbiMrYOOQkRERKTdUVIisZOUSrjjHm3zoYOWTCh7z7YZu4iIiEgblxJ0AJJYXHpvQikHQbg46FAawSCpAyQnwJgYERERkTZISYnEXnKm9xIRERERaQD1VRERERERkUApKRERERERkUApKRERERERkUApKRERERERkUApKRERERERkUApKRERERERkUApKRERERERkUApKRERERERkUApKRERERERkUApKRERERERkUApKRERERERkUApKRERERERkUApKRERERERkUApKRERERERkUApKRERERERkUApKRERERERkUApKRERERERkUApKRERERERkUApKRERERERkUApKRERERERkUApKRERERERkUApKRERERERkUApKRERERERkUApKRERERERkUApKRERERERkUApKRERERERkUCZcy7oGFqEma0DlgccRg9gfcAxSPzTdSINpWtFGkLXiTSUrhVpiJ2cc9ktvZOUlt5BUJxzPYOOwczmO+eGBh2HxDddJ9JQulakIXSdSEPpWpGGMLP5rbEfdd8SEREREZFAKSkREREREZFAKSlpWf8IOgBpE3SdSEPpWpGG0HUiDaVrRRqiVa6ThB3oLiIiIiIibYNaSkREREREJFBKSmLMzHY1s3fMrNjMVpnZ9WaWHHRc0jLMbHsze8TMvjCzkJnNqqWMmdlVZrbCzErM7H0z2yuqzFlm5mp5/S6qXB8ze9zMVppZoZktMrNTW/YopbnM7HgzezXi97bAzE6OKnOimb1sZqv93/1ZtdTT08zuNbNPzazczJbVUmbAFq4lZ2aLW+4opbnM7Dgz+9DMNphZqZktNrOrzSwtoswFZjbdL+PMbHQt9cyq4xoYEVFuWS3r17TO0UqsmFk//98VZ2Yd/WV9zOx2M/vcX7fCzJ40s75R2x5kZu+Z2VozKzOzH83s72bWqY79/cHf14stfWzSPPXdWzT0OvHLjjSzj/x/m1aZ2U1mlhKxvpOZXef//5RvZmvM7L9mtmND403YKYGDYGZdgbeBb4CjgEHA3/GSv6sDDE1azm7AEcDHQOoWylwBTAEuA74D/gS8bWa7O+eibwDGAiURn3+semNmScCrQHfgcmANcBzwjJmVOOdebv7hSAv5E/ATcAneMwGOAP5tZj2cc/f5ZY4DBgCvAb/ZQj39gBOBT4DPgF61lFkNjIhalgm8Ccxo8hFIa+gOvAvcDuQBw4CpwFbARX6ZMwAHvAGcvFkNnguA6JvK64G9gXlRy/8N3BfxubxJkUuQbgcKgayIZfsAk4F/4v170RvvWvrQ/7+n0C/XDVgEPAisw/s/7TpgJ2Bi9I7MrJdfz7oWOA5pOVu6t2jQdWJm2wFv4f27MxnYHrgF75r7o1/XtsB5wKPAX4EOwJXAJ2Y22Dm3ot4onXN6xejln/xcoFPEssuB4shleiXOC0iKeP8iMCtqfQaQD1wTsSwL7x/0GyOWnYV3o9Gxjn3t7JeZFLV8IfBc0OdCrzqvkx61LPs38FP0tQR09H/PZ9WyTeT1dgewrIH7P96vc7+gz4Vejb52bsJLUKrGgFZdJ7v7v9PRDagjDcgBHopavgy4I+hj1KtZ18eB/u/20sj/Q4AuQEpU2R39MmfWU+d5frlutax7FHgamAW8GPTx61Xv9VHnvUVDrxPgEbxEJiVi2e+BCqCP/zkLyIyqqxtewnxtQ+JV963YGg+84ZzbGLHsWbxvKQ8KJiRpSc65cD1F9sf7xvL5iG2KgGl410tjVLXE5EctzwOskXVJK3LO1fbE5EVA34gy9V1LDSqzBScDPzrnPmni9hKcDXhJBdDka2Ac0BX4T6yCkuCZ1zX8PrxWsBr/xjjn8pxzlVHLvsf7knSzrjlRNvg/0yIXmtkw4AS81n9JAI24TvbC+9I1suybeD2uDvO3K3LORbbG4JzLAZZT/zUHaExJrO2M1z2nmnPuZ7xf7s6BRCRB2xkIAUuiln9L7dfED2ZW6fcl/23Uuq/wmlevN7Md/P6bZwEHAA/HOG5peSOA71t6J37f8PF4X5BIG2BmyWbWwcxGAhfjtXA0Z6rMk4BfgDm1rDvXH5+Ub2Yvmln/ZuxHWtfvgHTggYYUNrPBeF1qNvt3x7/m0s0b73g18LKL6F5sZoaXAN3mnFsZg9ilddV1b1HDFq6TDDbv2ln1eZc66uqJ19WrQf/XaUxJbHXF+9Y6Wq6/TtqfrkChcy4UtTwX6GBmac65crxxAFOAT4FkvJuIh82sg3PuLgDnnDOz8cArbPoDrwDOds692wrHIjFiZgcDRwPntMLujsb7D0VJSdtRhHezCfAU3ni0JjGzDsCRwCO1JDav4I2H+wXvxuJaYI6Z7eGci26RlThiZt2BG4DTnHMVXs5QZ/kk4B68L8heraXI13jjSMAbN3B61Pqz8cYb3NGMsKX11XtvEamO62QpMDSq+DD/Z7c69v93vO5bTzQkWCUlInHAOfcG3n8EVWaYWQZwtZnd45wL+/9YPIU3GPZEYC3egOlHzWyDc25mqwcujWZmA/DGk7zinHuiFXZ5MvC1c+7LVtiXxMb+eN9UDgOuAe7HG7zeFJPw+npv1nXLOfeHiI9zzOxDvAkUzgbubuL+pHXcBHzsnHu9geVvwWudPcg5V1HL+mOBzsAeeNfcC2Y20f8yrLO//e+ju+dIfGvIvUXUJlu6Th4G3jSzKcBDeK0ff8PrCVJrl1IzOx84DTjWObehtjLRlJTEVi7eH3W0rv46aX9ygY5mlhzVWtIVKPZbSbbkRbz+uwPwBphN9F87OuequoPNMrNtgNsAJSVxzsy64c2AtRxo8amc/W9TD8GbTUXaCOfcQv/tXDNbDzxpZn93zv3QhOpOApY65+Y3YL9fmTdt9JAm7EdaiZnthtfKeqCZdfEXd/B/djazUGTyYGYX4LW2nbylcWXOua/9tx+a2bfAbGAM3mxwVwE/492UVu0vBUj1PxfU0htA4lf0vQVQ93XinHvLzK7Ga3W5Hq+XxvV43Us3m0bczI7E6+73F+fcfxsamMaUxNZ3RI0T8G8YOxA11kTaje/wmky3j1q+2fijWrionzvjJTLR41MW4U0/LXHM70bzGt7g0YnOueJW2O1xeDcP6rrVdlUlKNs1dkP/G+7xNG6Au2PTvzkSn3bAm/jkI7wvvnLZNK7kFyKmeDazY/3Plzvnnmtg/VXX3ED/5054XXdyI14H4HULzGXzKcglvkXfWzToOnHO3QT0AAbjdeV7GOiJ1wW0mpkdgPd/zsPOudsbE5iSktiaARxuZtkRy07Emxt6djAhScA+BDbiTckKVN+cTqL+Z0YchzejynL/83K8cSg7RZXbB29qT4lT/gOmXsC7mRjnnFvbSrs+Gfi0id+wS3w4wP/5UxO2nYw3NqVBSYmZ7Y735ceCJuxLWs9cvFaMyNet/roj8J5bgnkP1vwXcJ9zrjFjQaKvuatr2d/nwPv+e3UNbVtq3Fs05jpxzhU65750zuUCF/p1vF213m/Fm4bXc+Pixgam7lux9TDeL+FlM7sV71uGqcCdUdMES4LwE4wj/I/9gE5mdpz/+XXnXLGZ/Q2YYma5bHp4YhI1v816CW8g2hd4LSsn+q+LI/p8vo7XhP4/M7se71knE/CaYS9suaOUGHgQ7zr5A9Dd71ZVZZFzrszMdgV2xRuUDjDUzAqBdc656i81Iq6vHfGS1KrPs51z6yLK9QVGAX9ukSOSmDOzmXj/wX+N11f7ALzf33NViaWZDcXrdrGNv9lBZtYD75k10V20TgI+d859W8u+JuD1934NWIWXjFyN92/MEzE9MIkpf4rxWZHL/LFqAHOcc4VmtgvwP7z/c54zs+ERxddFXE9P402c8hneTKFD8J6v9hHwnr+/r6JjMLM8YL1zblb0Ookf9d1bNOI62R44xa8rBa8r+TnAhKppgv0Ha87EG9h+LzAsYgKGjc65b+oNuCEPM9GrUQ+q2RWvD2YJ3qwHNwDJQcelV4v9vgewqbtD9GuAX8bwnm76i39dzAH2jqrnZmAx3n8KJXjfVJ5ey/62x/vGfZX/h/858Fv8B6vpFZ8vvJas+q6TqVtYPyuqri3VMzqq3B/xbmz7Bn38ejX4OrkBb+rvQryZHBfiPaAsNaLME1v4/T8RVVcPvH7fV2xhX4OBd/C+3KjA6xf+hK6Xtvki6iF5EZ/rvFb862sB3vOvCvFaPaZQx4N8/e1moYcnxv2rvnuLRlwn2+K1jOXjzQ44CxgVta/RddQ1qyHxVj0hVkREREREJBAaUyIiIiIiIoFSUiIiIiIiIoFSUiIiIiIiIoFSUiIiIiIiIoFSUiIiIiIiIoFSUiIiIiIiIoFSUiIi0ghmdpaZLTCzAjPLNbNFZnZnjPcxzMymxrLOeGZmU81sfQzq2dGvq0vU8rPMzJlZx+buo7nM7FUzu7aeMhP9eAf4n3v5xzUgqtxQM8sxs84tF7GISOtQUiIi0kBmdiXwT+AN4BjgDOAV4MgY72oYUOeNq9RqR7zz1iVq+XRgBN4DxAJjZvsBY4H7GrlpL7zjGhC50HlPcF8EXBKL+EREgpQSdAAiIm3IRcAjzrmrIpZNM7PrggpI6uecW4f35PKgXQy84pzLiWGdjwN3mNmNzrnKGNYrItKq1FIiItJwXYA10Qudc67qvZl9amZPRJcxsyfMbJH/PtXM7jCzn82szMxWmdl/zSzNzM7C/ybd78LjzGxWRD27m9l0v/tYgZm9YGZbRawf7W9zsJm9YmZFZrbEzA4zs2Qzu93M1pvZSjP7U0MO2szOM7MvzazUzH41sxfNrLOZHWFmYTPbLqr8dv7yoyKWTfbPTYmZbTCz182sfx377GZm//D3V2pmH/otDVsqPxqY5n/8yT8Hy/x1NbpvmdkA//NJZva4mW00s1/M7DR//eX+72Sdmd1qZklR+6rzd7CF+LKBycCLUcvN75q11q/rKaBTxPoBwJf+x/eqromIKl4FugGH17V/EZF4p6RERKThFgK/N7Mzzaz7Fso8ChwXOX7Bf38c8Ji/6ErgVGAKcCjwRyAfSMbravR3v9wI/3WBX8/2wAdABnAacBawG15rjUXF8QgwF+9GeDnezfD9QDZwiv/573Xd6Pv7vNqvazZwNHC+H2tHvG5sq4AzozY7C1jrHwtmdjrwMvADcAJwNvA90HML+0wH3gYOAS7z97sOeLuOm/+FwKX++2Pwztvkuo4NuBVYDRwLzAGeNLO/43WfOwe4G7jcj7kqtsb8DiLtD2QCH0Ytvxi4BvgH3jVSAtwWsX413rUCcCGbrgkAnHMbga/xzpWISNvlnNNLL7300qsBL2Aw8CPggDDezeD1QKeIMp2AIuDsiGXnAGVAd//za8Df69jPRfgNMFHLnwYWA2kRy3YAQsAE//NoP75rI8rs6i97N2JZEl6rz611xNEFbxzGnXWUuRH4CTD/swHLgDsi9rMSeLmOOqYC6yM+nwuUAztELEvBS2pur6Oeif5xDohafpa/vKP/eYD/+fGo31sFsARIjlj+KfBcY34HW4jtKmBd1LJkvKTuoajlb0UeB7C7/3n0Fup+Avgg6L8PvfTSS6/mvNRSIiLSQM65L4Bd8Aa2P4h3Az4FmF/VMuK8b65fxLsRrnIW8KpzboP/+TPgLL+b0OB6vmGPdAjwXyBsZilmloKXECwDhkaVfSfi/VL/57sRxxLGS7D61bG/EXjf7j9eR5nHgP54yRDAGP9z1TY7AX3rqSPaIcACvG5YVccJXmtN9HE2R/U58n9v64DZzrlQRJml1DxHjfkdRNoKiJ5hbBugD95kCZFebsQx4NdbZ/cxEZF4p6RERKQRnHNlzrlpzrmLnHO7Ar/B+6b83IhijwKjzGygmQ0CRrGp6xZ4rQsP4HXL+hxYYWZ/aMDuewB/wftGP/I1EO8GN1JeRMzl0ct85XjdkLakqova6i0VcM79CMzC65KF//NT59zXDa2jFj2A4Wx+nGez+XE2R17U5/ItLIs8R435HUTKwGsti1SVSKyNWh79uT5l1P17FBGJe5p9S0SkGZxzj5rZbcDOEcveN7MleC0khtdF582I9aV44wiuMbMdgN8Bd5vZYufczDp2l4P3Lf0/a1nX7Od81KKqZadPPfX/E/g/86ZMPgb48xbqaKgcYD7e+JVo0Tf2ra2pv4McNp+quGrShF5Ry6M/16eLX7+ISJulpEREpIHMrJdzbm3Usp5AZ+DXqOKP4Q9QB56K6hJUzTm3xMwuxRvEvCswE+/becwsw09gqryDN6h6gXPObVZZ7H2EN/D6TDYNIq/Ny3gtP8/itcA/G7FuMd6YkjPZNDtWfd4BDgN+jj7f9ahqEWrJVoOm/g4WA33NLN05V5VYrcBLTI7C+71XOSZq2/qOawDexAEiIm2WkhIRkYb70sxewWv1WIs3duJSvMHgT0aVfRKvm1YKUeMpzOy/eGMmFuHd9B/nl3vfL/Kd//MPZvYusNE5txhvQPinwHQzewzvm/l+eDN4PeGcmxWrAwVwzuWZ2Q3ATWaWBrwOpAMTgOuccyv9cqVm9i+8xOo/zrm8iDrCZnY58C+/zH/wBm2P9cvOr2XXT+G1Hs0yszvwxr50x5sVa41z7q4thLzY//lbM3sWKHbOfbmFsk01lab9Dj4AUoE98FqBcM6F/Fa2O8x7ov0cvJnAdona9mf85NDM8oGKqPM2FG8mMRGRNktjSkREGu56vG+l78VLTG7Am4FrmHPup8iCzrk1wCd4syJFf4v9If+/vTt2jSIKAjD+TR3SCLYp0sTCRkJILdhYRsFSC7ELhDTpE4Ip0hhIc4IWFrESJI2liJ22VsHGv0EMdmMxTwiLhhj28hL8fs0et7ePx+0VO/dm5lWb2wOqyHkRuH/iQfMjsAustTEmbcwjqtbimGoh+w7YpFKavjIFmblDpVHdaXOdUOlC3wcffduOLwfvk5kH1MP2DaoJwKv2+o8bGrbVodtUF6pN6rveo2p3Pp0y129UkHiPCgLOujJzZue9B+26L8DdwalnwFMqCHtDtVreGFz7E3hC/U4+AJ9/n4uIW1Rr5X8tjpekSyUuJgNAkv4vEXGNSltazcwXveczbe0f/wfAfOvspYGIWAceZ+bNEcfcAZYy031KJF1prpRI0ogiYrZtSLhPrSa87jylqYqIhYhYoVZT9g1ITvUcuB4RowQQETFDraBsjzGeJPVkTYkkjWsReE/tov4wM487z2faJsAycEiltekvMvNHRDwCZkYacg7YGruWSJJ6MH1LkiRJUlemb0mSJEnqyqBEkiRJUlcGJZIkSZK6MiiRJEmS1JVBiSRJkqSuDEokSZIkdfULoDDP81aAl2QAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 936x715.145 with 1 Axes>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from qiskit import pulse\n",
    "\n",
    "with pulse.build() as h_q0:\n",
    "    pulse.play(pulse.library.Gaussian(duration=256, amp=0.2, sigma=50, name='custom'),\n",
    "               pulse.DriveChannel(0))\n",
    "\n",
    "circ.add_calibration('h', [0], h_q0)\n",
    "\n",
    "schedule = build_schedule(circ, backend)\n",
    "schedule.draw()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Notice that the initial pulse on `D0`, the Hadamard gate, is now implemented with our custom pulse.\n",
    "\n",
    "## Scheduler methods\n",
    "\n",
    "The scheduler can follow multiple routines. By default, it follows an _as late as possible_ (ALAP) rule. Another scheduling method is _as soon as possible_, (ASAP). For both methods, the output schedule is minimal: in the longest-duration operation path of the input circuit, the start time of each operation is the end time of the proceeding operation. The methods determine how to schedule operations outside that longest path.\n",
    "\n",
    "This is made clear through an example:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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vvvmm2zcM9yan689R8u5HHZav37Knw3N/P18emZtBgL9fr+Vzxu5w8D9/+JBzFy+3W+4sM8Cdd8SRND7G6b7q6uqIiIho+3rEiBGcPn26R/PKEewWmpubmTt3Lo8//jhjxowxOk6Pixg+hOFDBlN/7iL15y62Lb/5ef25iyTHxxpeLgBd05g2KYGzFy65zKxpkDC28zvtdPV2sN0hBeuEzWbjRz/6EYmJiaxYscLoOMr8591TGDgg6JbrmGNu7/QoYITbhoVy99Rb30bYx2Qi84d34WMydbpOREREuyNWbW0t4eHhPZYTpGCdWrRoEcHBwaxbt87oKEoF+PvxwMw0tE6+H9S/H/f9+/fRtM7WMEZqSiIjwoZ0+v2M1EkMDR10y30kJydTV1dHVVUVAJs3b+b+++/v0ZxSMCc+/vhjiouLKS8vZ8KECSQmJvLiiy8CvTOt6G2RI8K48w7n972ekzGNoEDXt+zNzc0lPDwcm81GeHg4+fn5PR2zHZOu88AP0/H17XgZIWpkGFOSx7veh8nEq6++yty5c4mKiiIoKIisrKwezak5+uK/GIXe2ncQm83G7Hvu9Ljf6t/G9ZYWNm7by9kLX7Utm5QwhvszphmYyrVDFVXsfe9A29cB/n4se3Suy2lvb5EjWBdcbmjiUEUVDoejT5ULwNfHh8xZd2HSb/yT+LeBwcy8a7LBqVyblDCW2Mh/XQm89wdTPaZc0AcKduzYMebMmUNoaCgBAQGMHj2aX/7yl0rGsnxagcPhIH3yBCX7N1rYkMH84PvJaJpG5sx0/P18jY7kkqZpzP2PVAL7+RMXO4rEcdFGR2rHq6eIf/7zn5k2bRoRERGsXLmSkSNHUlNTw8GDB9m8efMtt239aGghuqorHyfu1S80r1ixgv79+3Po0CFCQkLalmdnZxuYSoh/8doj2DfffENwcDBLly5l/fr1Sse63NDE86+8TtL4GI8/6ReexWuPYF999RV2u73bLwx2Z4p4uPIEhytPdGs80Xd0ZYrotRc5Bg0ahK7rnDlzxugoQnTKa6eIAOnp6VRVVfG3v/2NAQMGKBnjzfcPcLjyc36+aD6DQoy7GZ/wTl57BANYu3YtTU1NpKSksHXrVkpLS9m2bRs5OTk9sv/LDU2UfXaC5LhYKZfoFq89BwNISkrik08+oaCggOXLl/PPf/6TiIgI5s+f3yP7v3i5geD+gX32dS+hnldPEXuD3W5H1736QC8MJAUTQiH51SyEQlIwIRSSggmhkBRMCIWkYEIoJAUTQiEpmBAKScGEUEgKJoRCUjAhFJKCCaGQFEwIhaRgQigkBRNCISmYEApJwYRQSAomhEJSMCEUkoIJoZAUTAiFpGBCKCQFE0IhKZgQCknBhFBICiaEQlIwIRSSggmh0P8Bi3V9XfsNbZ0AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 267.052x204.68 with 1 Axes>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "circ = QuantumCircuit(2, 2)\n",
    "circ.x(0)\n",
    "circ.x(0)\n",
    "circ.x(1)\n",
    "circ.measure([0, 1], [0, 1])\n",
    "\n",
    "circ.draw(\"mpl\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For our mocked backend, these $X$ gate operations are each the same duration (`duration = 160 dt`). For the schedule to be minimal, the two $X$ operations on qubit 0 will be scheduled back-to-back, and the measurement pulse will immediately follow the second of those pulses.\n",
    "\n",
    "ALAP will choose the latest valid time to schedule lesser-constrained operations, so the $X$ gate on qubit 1 will play in sync with the second $X$ gate on qubit 0."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 936x237.6 with 1 Axes>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "schedule = build_schedule(circ, backend, method=\"as_late_as_possible\")\n",
    "schedule.filter(channels=[pulse.DriveChannel(0), pulse.DriveChannel(1)]).draw()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "On the other hand, as the name suggests, ASAP will schedule operations as soon as its resources are free. Thus, the $X$ gate on qubit 1 will be scheduled at `time=0`, in sync with the first $X$ gate on qubit 0."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 936x237.6 with 1 Axes>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "schedule = build_schedule(circ, backend, method=\"as_soon_as_possible\")\n",
    "schedule.filter(channels=[pulse.DriveChannel(0), pulse.DriveChannel(1)]).draw()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "ALAP is the default because it allows qubits to remain idle as long as possible. In this case, the difference between ALAP and ASAP may be negligible, but in ALAP, qubit 0 has _no_ time to decay from the excited state before measurement."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<h3>Version Information</h3><table><tr><th>Qiskit Software</th><th>Version</th></tr><tr><td><code>qiskit-terra</code></td><td>0.20.2</td></tr><tr><td><code>qiskit-aer</code></td><td>0.10.4</td></tr><tr><td><code>qiskit-ignis</code></td><td>0.7.1</td></tr><tr><td><code>qiskit-ibmq-provider</code></td><td>0.19.1</td></tr><tr><td><code>qiskit</code></td><td>0.36.2</td></tr><tr><th>System information</th></tr><tr><td>Python version</td><td>3.9.9</td></tr><tr><td>Python compiler</td><td>GCC 11.1.0</td></tr><tr><td>Python build</td><td>main, Dec 29 2021 22:19:36</td></tr><tr><td>OS</td><td>Linux</td></tr><tr><td>CPUs</td><td>32</td></tr><tr><td>Memory (Gb)</td><td>125.64827728271484</td></tr><tr><td colspan='2'>Wed Sep 21 09:33:41 2022 EDT</td></tr></table>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div style='width: 100%; background-color:#d5d9e0;padding-left: 10px; padding-bottom: 10px; padding-right: 10px; padding-top: 5px'><h3>This code is a part of Qiskit</h3><p>&copy; Copyright IBM 2017, 2022.</p><p>This code is licensed under the Apache License, Version 2.0. You may<br>obtain a copy of this license in the LICENSE.txt file in the root directory<br> of this source tree or at http://www.apache.org/licenses/LICENSE-2.0.<p>Any modifications or derivative works of this code must retain this<br>copyright notice, and modified files need to carry a notice indicating<br>that they have been altered from the originals.</p></div>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import qiskit.tools.jupyter\n",
    "%qiskit_version_table\n",
    "%qiskit_copyright"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.9"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
